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| 1 | Characterization of Nitrogen Uptake Pattern in Malaysian Rice MR219 at Different Growth Stages Using ^(15)N Isotope显示文摘Nitrogen(N) use efficiency is usually less than 50%, and it remains a major problem in rice cultivation. Controlled release fertilizer(CRF) technology is one of the well-known efforts to overcome this problem. The efficiency of CRF, however, is very much dependent on the timing of nutrient release. This study was conducted to determine the precise time of N uptake by rice as a guideline to develop efficient CRF. Fertilizer N uptake by rice at different growth stages was investigated by using 15 N isotopic technique. Rice was planted in pots, with 15 N urea as N source at the rate of 120 kg/hm2. Potassium and phosphorus were applied at the same rate of 50 kg/hm2. Standard agronomic practices were employed throughout the growing periods. Rice plants were harvested every two weeks until maturation at the 14 th week and analyzed for total N and 15 N content. Nitrogen derived from fertilizer was calculated. Total N uptake in plants consistently increased until the 11 th week. After that, it started to plateau and finally declined. Moreover, N utilization by rice plants peaked at 50%, which occurred during the 11 th week after transplanting. N derived from fertilizer in rice plants were in the range of 18.7% to 40.0% in all plant tissues. The remaining N was derived from soil. Based on this study, N release from CRF should complete by the 11 th week after planting to ensure the maximum fertilizer N uptake by rice plants. Efficient CRF should contribute to higher N derived from fertilizer which also resulted in a higher total N uptake by rice plants, increasing the potential of rice to produce higher yield while at the same time of reducing loss. | Mohammad Mu'az HASHIM Mohd Khanif YUSOP Radziah OTHMAN Samsuri Abdul WAHID | 2015 | Rice science2015，22，5： | 3 |
| 2 | Contribution of Rayleigh scattering on Brillouin comb line generation in Raman fiber laser显示文摘 | ZAMZURI A K Al-Mansoori M H SAMSURI N M | 2010 | Applied Optics2010，49，18： | 1 |
| 3 | Effects of pyrolysis temperature on the physicochemical properties of empty fruit bunch and rice husk biochars 显示文摘 | Claoston N Samsuri A W Ahmad M H | | Waste Management and Research0，32，4： | 1 |
| 4 | Adsorption of As(III) and As(V) by Fe coated biochars and biochars produced from empty fruit bunch and rice husk显示文摘 | Abd Wahid Samsuri Fardin Sadegh-Zadeh Bahi Jalili Seh-Bardan | 2013 | Journal of Environmental Chemical Engineering2013，，4： | 1 |
| 5 | Cloud -to -ground lightning in tropical cyclones: A study of Hurricanes Hugo (1989) and Jerry (1989) 显示文摘 | Samsury C E Orville R E | 1994 | Mon Weather Rev1994，122，： | 1 |
| 6 | Contribution of Rayleigh scattering on Brillouin comb line generation in Raman fiber laser 显示文摘 | ZAMZURI A K A1-MANSOORI M H SAMSURI N M | 2010 | Applied Optics2010，49，18： | 1 |
| 7 | Comparison of in vitro digestibility and chemical composition a- mong sugarcane bagasses treated by four white-rotfungi 显示文摘 | OKANO K IIDA Y SAMSURI M | 2006 | Animal Science Journal2006，77，3： | 1 |
| 8 | Time- dependent fracture in vulcanized elastomers显示文摘 | G J Lake A Samsuri S C Teo | 1991 | Polymer1991，32，： | 1 |
| 9 | Secondary wind maxima in hurricanes: Airflow and relationship to rainbands显示文摘 | SAMSURY C E ZIPSER E J | 1995 | Mon Wea Rev1995，123，12： | 1 |
| 10 | Con- tribution of rayleigh scattering on brillouin comb line gen- eration in raman fiber laser显示文摘 | A K Zamzuri M H A1-Mansoori N M Samsuri | 2010 | Applied Optics2010，49，18： | 1 |
| 11 | Design,implementation and performance of ultrawideband textile antenna显示文摘 | Osman M A R Rahim M K A Azfar M Samsuri N A Zubir F Kamardin K | | 0，，： | 1 |
| 12 | All-Optical Gain Clamped Double-Pass L-Band EDFA Based on Partial Reflection ofASE 显示文摘 | HARUN S W SAMSURI N M AHMAD H | 2004 | IEICE Electronics Express2004，7，1： | 1 |
| 13 | Comparative studies of two dimensional and three dimensional ultrasonic nuchal translucency in trisomy assessments显示文摘 | Lai KW Chai HY Samsury SRB | 2012 | Embo J2012，84，4： | 1 |
| 14 | Modelling of heat transfer for progressive freeze concentration process by spiral finned crystallizer显示文摘This study presents a novel design for a spiral finned crystallizer which is the primary element of progressive freeze concentration(PFC) system, which simplifies the setup of the conventional system. After the crystallizer has been designed, the research experiments have been conducted and evaluated through a thorough analysis of its performance by developing a mathematical model that can be used to predict the productivity of ice crystal at a range of coolant temperature. The model is developed based on the basic heat transfer equation, and by considering the solution's and the coolant's convective heat transfer coefficient(h) under the forced flow condition.The model's accuracy is verified by making comparison between the ice crystal mass' experimental value and the values predicted by the model. Consequently, the study found that the model helps in enhancing the PFC system. | Shafirah Samsuri Nurul Aini Amran Mazura Jusoh | 2018 | Chinese Journal of Chemical Engineering2018，26，5： | 0 |
| 15 | Root cause of sand production and methodologies for prediction显示文摘The consequences of sandstone reservoir rock failure may lead to sand production.This phenomenon can have negative impact on lifting cost and economic of any field development.Metal erosion due to sanding can lead to loss of integrity and hydrocarbon leakage.Poor decision on the type of completion can risk the viability of the field.To facilitate best sand management over the life of a field and to maintain economical productivity,accurate prediction of sand production volume/rates is needed to increase both productivity and the ultimate recovery of the hydrocarbon while keeping the operating cost low.This paper summarizes the sand production modeling for onset and volume of sand namely technology that required to improve understanding on sand production and mitigation.Three main questions will be answered,why industry needs to worry about sand production,what are the available technologies to predict sanding volume/rates finally,how the current technologies can be improved to estimate sand production volume/rates. | Surej Kumar Subbiah Arifin Samsuri Assef Mohamad-Hussein Mohd Zaidi Jaafar Ying Ru Chen Rajeev Ranjan Kumar | 2021 | Petroleum2021，7，3： | 0 |
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