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Isolation of a novel protein phosphatase2C in rice and its response to gibberellin
Amir Hossain, Md,Ahn, Chul-Hyun,Lee, In Suk,Jeon, Jong-Seong,An, Gynheung,Park, Phun Bum Elsevier 2018 Biochemical and biophysical research communication Vol.503 No.3
<P><B>Abstract</B></P> <P>Protein phosphatase 2Cs (PP2Cs) have been referred to act as negative modulators of the protein kinase pathways involved in different environmental stress responses and developmental processes. In <I>Arabidopsis</I>, PP2Cs have been extensively studied and some are known to negatively regulate abscisic acid signaling. In rice, PP2Cs are scarcely characterized functionally. Here, we identified a novel PP2C from rice (OsPP2C34), which is highly inducible by gibberellin (GA) and expressed in various tissues. Subcellular localization analysis in maize protoplasts using a green fluorescence protein fusion vector localized OsPP2C34 to the cytosol. Genetic analysis of T-DNA insertional mutants revealed that plant height and internode length were significantly shorter in mutants than in corresponding wild types under GA treatment. The induction of the GA-inducibleα-amylase genes <I>RAmy3E</I> and <I>OsAmy</I> was delayed in mutant plants. The substrate of OsPP2C34 was identified by immunoblotting using anti serine/threonine antibodies. A 65 kDa protein was phosphorylated in <I>Ospp2c34-1</I> but dephosphorylated in the wild type during early germination stage. Overall, the present results indicated that OsPP2C34 is involved inα-amylase expression of GA signal transduction pathway.</P> <P><B>Highlights</B></P> <P> <UL> <LI> OsPP2C34 is highly inducible by gibberellin (GA) and expressed in various tissues. </LI> <LI> OsPP2C34 is localized to the cytosol and involved in α-amylase genes inducible by GA. </LI> <LI> OsPP2C34 has dephosphorylation activity at its serine/threonine residues. </LI> <LI> OsPP2C34 is a positive regulator of the GA-dependent signaling transduction pathway. </LI> </UL> </P>
Impact of Debts on Economic Growth of Bangladesh: An Application of ARDL Model
Hossain, Muhammad Amir,Shirin, Shabnam KNU The Institute of ManagementEconomy Research 2016 Asia-Pacific Journal of Business Vol.7 No.1
This study attempts to investigate the effects of different types of debts on economic growth in Bangladesh using time series data spanning from 2000 to 2015. In this study, the RDL model has been applied to determine the long run relationship among the selected variables. The result of the ARDL model shows that there exists a long term relationship between economic growth and the debt variables. It was evident from the findings that there exists bidirectional causality between public sector external debt and economic growth. Causality between private external debt and economic growth has been found to be insignificant. However, causality between domestic debt and economic growth showed a unidirectional causality from domestic debt to economic growth and not vice versa. Causality tests suggest that impact of domestic debt on economic growth is more effective compared to external debts.
Impact of Debts on Economic Growth of Bangladesh: An Application of ARDL M
Muhammad Amir Hossain,Shabnam Shirin 강원대학교 경영경제연구소 2016 Asia-Pacific Journal of Business Vol.7 No.1
This study attempts to investigate the effects of different types of debts on economic growth in Bangladesh using time series data spanning from 2000 to 2015. In this study, the RDL model has been applied to determine the long run relationship among the selected variables. The result of the ARDL model shows that there exists a long term relationship between economic growth and the debt variables. It was evident from the findings that there exists bidirectional causality between public sector external debt and economic growth. Causality between private external debt and economic growth has been found to be insignificant. However, causality between domestic debt and economic growth showed a unidirectional causality from domestic debt to economic growth and not vice versa. Causality tests suggest that impact of domestic debt on economic growth is more effective compared to external debts.
Impact of Debts on Economic Growth of Bangladesh: An Application of ARDL Model
Dr. Muhammad Amir Hossain,Ms. Shabnam Shirin 강원대학교 경영경제연구소 2016 Asia-Pacific Journal of Business Vol.7 No.1
This study attempts to investigate the effects of different types of debts on economic growth in Bangladesh using time series data spanning from 2000 to 2015. In this study, the RDL model has been applied to determine the long run relationship among the selected variables. The result of the ARDL model shows that there exists a long term relationship between economic growth and the debt variables. It was evident from the findings that there exists bidirectional causality between public sector external debt and economic growth. Causality between private external debt and economic growth has been found to be insignificant. However, causality between domestic debt and economic growth showed a unidirectional causality from domestic debt to economic growth and not vice versa. Causality tests suggest that impact of domestic debt on economic growth is more effective compared to external debts.
Gazi Mosharof Hossain,Mohammad Amir Hossain Bhuiyan 대한토목학회 2016 KSCE JOURNAL OF CIVIL ENGINEERING Vol.20 No.1
This paper has investigated the total organic carbon contents together with total nitrogen, total phosphorous, electrical conductivity and grain size parameters of the surface sediments of the Sundarbans mangrove forest in Bangladesh. The results showed that the seasonal variations of Total Organic Carbon (TOC) and Total Nitrogen (TN) were significant at all sampling points. TOC and TN content at the monsoon were quite higher than that of the winter season. TOC and TN also showed strong positive correlations between them and negatively correlated with Total Phosphorus (TP). Depending on the distributions of TOC and TN, the studied forest ranges could be arranged at the following order: Sarankhola and Chandpai ranges > Khulna range > Satkhira range. In contrast, TP content showed the reverse order of TOC and TN, where the higher concentrations were generally distributed at the southern parts of Sundarbans. Besides, TOC and TN showed linear positive correlations with grain size distribution where fine grained sediments contain higher amount of TOC and TN. However, in terms of grain size variation, TP reversed the results of TOC and TN. Thus “grain size effect” was an important factor for influencing the distributions of sediment nutrients. Carbon-Nitrogen (C/N) ratios showed the highest contribution of terrestrial organic carbon near the Sarankhola and Chandpai ranges were iso-lines projecting towards northeast, indicating the influence of the upstream river water. Sediment Nutrient Indexes (SNI) were low, although reasonably variable, in forest floor directly receiving effluents from other anthropogenic sources/farms. It was evident that potential nutrient levels changed from the high values at northeast sites to the southwest sites, and this pattern was common across the four forest ranges.
Development of gluten-free bread using guar gum and transglutaminase
Mehrdad Mohammadi,Mohammad-Hossain Azizi,Tirang R. Neyestani,Hedayat Hosseini,Amir Mohammad Mortazavian 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.21 No.1
The effects of guar gum (20 and 30 g kg 1) in combination with microbial transglutaminase (TGase) (0, 1and 10 u g 1 pro) on the quality parameters of gluten-free bread, based on rice flour were investigated. Incorporation of guar gum significantly increased specific volume, leading to lower crumb hardness onthe baking day compared with control (P<0.05). Addition of 1 u g 1 pro of TGase caused appropriatecrumb texture and increase in TGase concentration yielded higher crumb hardness. G3T1 formula,containing 30 g kg 1 of guar gum and 1 u g 1 pro of TGase was the best formulae, compared to all theothers.
Autonomous UAV for Rescue Applications in Unknown Degraded Environments
Oualid Doukhi,Sabir Hossain,Amir Ramezani Dooraki,Jo Yeonho,Deok-Jin Lee 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.5
Autonomous Navigation and collision avoidance (ANCA) missions represent a fundamental challenge in the robotics research field as they are usually deployed in dynamic unknown environments to perform specific missions such as rescue and environment exploration, which makes it require a high-level of autonomy and versatile decision-making capabilities. This challenge becomes even more relevant in unmanned aerial vehicles (UAV) platforms due to their limited payload and computational capabilities. This paper presents a fully autonomous aerial robotic solution for executing complex ANCA missions in unstructured unknown indoor or outdoor GPS-denied environments. The proposed system is based on the combination of a complete hardware configuration and a flexible, optimized software architecture that allows the execution of high-level missions in a fully unsupervised manner (i.e., without human intervention). The proposed approach relies on a robust monocular visual-inertial navigation system (MVINS) for full UAV state estimation in GPS-denied conditions. While the UAV is performing the exploration task, a 2D object detector runs in real-time to detect possible targets such as humans and radioactivity signs. Moreover, the detected object location was estimated, and a semantic map is generated, which contains the environment architecture and the location and ID of the detected objects. Keywords Aerial Robot, Autonomous System, Semantic Map, Sensor Fusion