Floods are phenomenon with significant socio-economic implications mainly for human loss, agriculture, livestock, soil loss and land degradation, for which many researchers try to identify the most appropriate methodo...Floods are phenomenon with significant socio-economic implications mainly for human loss, agriculture, livestock, soil loss and land degradation, for which many researchers try to identify the most appropriate methodologies by analyzing their temporal and spatial development. This study therefore attempts to employ the GIS-based multi-criteria decision analysis and analytical hierarchy process techniques to derive the flood risks management on rice productivity in the Gishari Agricultural Marshland in Rwamagana district, Rwanda. Here, six influencing potential factors to flooding, including river slope, soil texture, Land Use Land Cover through Land Sat 8, rainfall, river distance and Digital Elevation Model are considered for the delineation of flood risk zones. Data acquisition like Landsat 8 images, DEM, land use land cover, slope, and soil class in the study area were considered. Results showed that if the DEM is outdated or inaccurate due to changes in the terrain, such as construction, excavation, or erosion, the predicted flood patterns might not reflect the actual water flow. This could result unexpected flood extents and depths, potentially inundating rice fields that were not previously at risk and this, expectedly explained that the increase 1 m in elevation would reduce the rice productivity by 0.17% due to unplanned flood risks in marshland. It was found that the change in rainfall distribution in Gishari agricultural marshland would also decrease the rice productivity by 0.0018%, which is a sign that rainfall is a major factor of flooding in rice scheme. Rainfall distribution plays a crucial role in flooding analysis and can directly impact rice productivity. Oppositely, another causal factor was Land Use Land Cover (LULC), where the Multivariate Logistic Regression Model Analysis findings showed that the increase of one unit in Land Use Land Cover would increase rice productivity by 0.17% of the total rice productivity from the Gishari Agricultural Marshland. Based on findings from these techniques展开更多
The energy crisis has become a significant bottleneck in the country’s economic progress.But to end this age old problem,we have to capitalize on the chance,China Pakistan Economic Corridor(CPEC)investment provides,t...The energy crisis has become a significant bottleneck in the country’s economic progress.But to end this age old problem,we have to capitalize on the chance,China Pakistan Economic Corridor(CPEC)investment provides,to its full potential.This study aims to help Pakistani government in selecting the best set of CPEC energy priority projects to be completed in the first wave of development.The second part of the research guides the small/medium scale industry and business owners to select the best available alternative for tackling the energy shortfall while CPEC projects are in the process of materialization.Forecasting electricity shortfall decrease and its impact on various economic/industrial sectors(like services,industrial,textile and agriculture)is also performed to gauge the effect of CPEC on the economy using linear regression.For decision analysis,the MCDM techniques employed are(AHP)along with(TOPSIS).This research generated a new list of recommended CPEC energy priority projects which are more evenly distributed across the country,catering more,to interest of the country as a whole.We also concluded solar panels to be the best alternative for small scale businesses,as short term solution while CPEC projects are under construction.展开更多
Here, we report a novel and universal methodology,termed ＂ntarctic thermolabile uracil-DNA-glycosylase （AUDG）-supplemented nucleic acid amplification techniques （NAAs） using a labeled-based nanoparticle lateral f...Here, we report a novel and universal methodology,termed ＂ntarctic thermolabile uracil-DNA-glycosylase （AUDG）-supplemented nucleic acid amplification techniques （NAAs） using a labeled-based nanoparticle lateral flow biosensor （LFB）＂ （AUDG-NAAs-LFB）, which merges enzymatic （AUDG） digestion of contaminant amplicons with different nucleic acid amplification techniques （NAAs）, and uses a lateral flow biosensor （LFB） for the rapid and visual confirmation of the presence of a target nucleic acid sequence. AUDG-NNAs-LFB is a one-pot, closedvessel assay, that can effectively eliminate false-positive signals arising from either carryover contaminants or the interaction between labeled primers. A new LFB was devised for detecting three targets （two amplicons generated from amplification of target sequences, and a chromatography control）, without the need for probe- hybridization or additional incubation steps. As a proof of concept, multiple cross displacement amplification （MCDA）, which is a specific, sensitive, and rapid isothermal amplification method, was selected as the model amplification technique to demonstrate the feasibility of AUDG-NAAs-LFB. As a result, we demonstrate the applicability of the AUDG-MCDA-LFB method for simultaneously detecting high-risk human papillomaviruses genotypes 16 and 18, which are the most and second-most prevalent strains of the virus reported in women worldwide. We also confirm the principle behind the AUDG-MCDA- LFB assay and validate its sensitivity, reproducibility, and specificity using serial dilutions of the type-specific plasmids, as well as clinical samples. This proof- of-concept method （AUDG-MCDA-LFB） can be easily reconfigured to detect various nudeic acid sequences by redesigning the specific MCDA primers.展开更多
Modeling land movements hazard by multi-criteria approach is a line of research to provide a methodological framework for risk mapping. This work is intended to establish a model for mapping “land movements hazard” ...Modeling land movements hazard by multi-criteria approach is a line of research to provide a methodological framework for risk mapping. This work is intended to establish a model for mapping “land movements hazard” by GIS approach based on multi-criteria analysis. The methodology is to create thematic maps by combining in GIS, determining factors (slope, lithology, water, …) in triggering landslides phenomena and shrinking-swelling soil, using the method of Weighted Sum Model (WSM). These maps are then combined to provide a hazard map of land movements. The application of this method allows the spatial distribution of different criteria and phenomena in Berhoum area, region of Hodna Basin, eastern Algeria. As a result, the study area has been divided into four different areas: 1) areas with no land movements hazard, 2) areas with a medium land movements hazard, 3) areas with a high land movements hazard, and 4) areas with very high land movements hazard.展开更多
文摘Floods are phenomenon with significant socio-economic implications mainly for human loss, agriculture, livestock, soil loss and land degradation, for which many researchers try to identify the most appropriate methodologies by analyzing their temporal and spatial development. This study therefore attempts to employ the GIS-based multi-criteria decision analysis and analytical hierarchy process techniques to derive the flood risks management on rice productivity in the Gishari Agricultural Marshland in Rwamagana district, Rwanda. Here, six influencing potential factors to flooding, including river slope, soil texture, Land Use Land Cover through Land Sat 8, rainfall, river distance and Digital Elevation Model are considered for the delineation of flood risk zones. Data acquisition like Landsat 8 images, DEM, land use land cover, slope, and soil class in the study area were considered. Results showed that if the DEM is outdated or inaccurate due to changes in the terrain, such as construction, excavation, or erosion, the predicted flood patterns might not reflect the actual water flow. This could result unexpected flood extents and depths, potentially inundating rice fields that were not previously at risk and this, expectedly explained that the increase 1 m in elevation would reduce the rice productivity by 0.17% due to unplanned flood risks in marshland. It was found that the change in rainfall distribution in Gishari agricultural marshland would also decrease the rice productivity by 0.0018%, which is a sign that rainfall is a major factor of flooding in rice scheme. Rainfall distribution plays a crucial role in flooding analysis and can directly impact rice productivity. Oppositely, another causal factor was Land Use Land Cover (LULC), where the Multivariate Logistic Regression Model Analysis findings showed that the increase of one unit in Land Use Land Cover would increase rice productivity by 0.17% of the total rice productivity from the Gishari Agricultural Marshland. Based on findings from these techniques
文摘无线传感器网络(wireless sensor networks)作为一种重要的信息获取和处理技术,可以在广泛的领域内实现目标监测、信息采集和目标追踪等任务,节点定位是无线传感器网络的重要支撑技术之一。而传统的定位算法具有定位误差大或定位率低的缺点。在对质心定位算法和DV-Hop定位算法的原理进行深入分析的基础上,提出了一种质心和DV-Hop混合定位算法MCDA,MCDA从3个方面提高了定位性能:首先通过设置TTL(time to live)值来限制锚节点广播数据包的范围,减少DV-Hop算法的通信开销;其次提高邻居锚节点的比例;最后通过改进质心定位算法减小定位误差。仿真结果表明,当锚节点数为5时,与DV-Hop定位算法相比,MCDA的平均定位误差降低了53.7%。当锚点数增加到10和20时,与质心定位算法相比,MCDA的平均定位率提高了28.5%和14.2%。
文摘The energy crisis has become a significant bottleneck in the country’s economic progress.But to end this age old problem,we have to capitalize on the chance,China Pakistan Economic Corridor(CPEC)investment provides,to its full potential.This study aims to help Pakistani government in selecting the best set of CPEC energy priority projects to be completed in the first wave of development.The second part of the research guides the small/medium scale industry and business owners to select the best available alternative for tackling the energy shortfall while CPEC projects are in the process of materialization.Forecasting electricity shortfall decrease and its impact on various economic/industrial sectors(like services,industrial,textile and agriculture)is also performed to gauge the effect of CPEC on the economy using linear regression.For decision analysis,the MCDM techniques employed are(AHP)along with(TOPSIS).This research generated a new list of recommended CPEC energy priority projects which are more evenly distributed across the country,catering more,to interest of the country as a whole.We also concluded solar panels to be the best alternative for small scale businesses,as short term solution while CPEC projects are under construction.
文摘Here, we report a novel and universal methodology,termed ＂ntarctic thermolabile uracil-DNA-glycosylase （AUDG）-supplemented nucleic acid amplification techniques （NAAs） using a labeled-based nanoparticle lateral flow biosensor （LFB）＂ （AUDG-NAAs-LFB）, which merges enzymatic （AUDG） digestion of contaminant amplicons with different nucleic acid amplification techniques （NAAs）, and uses a lateral flow biosensor （LFB） for the rapid and visual confirmation of the presence of a target nucleic acid sequence. AUDG-NNAs-LFB is a one-pot, closedvessel assay, that can effectively eliminate false-positive signals arising from either carryover contaminants or the interaction between labeled primers. A new LFB was devised for detecting three targets （two amplicons generated from amplification of target sequences, and a chromatography control）, without the need for probe- hybridization or additional incubation steps. As a proof of concept, multiple cross displacement amplification （MCDA）, which is a specific, sensitive, and rapid isothermal amplification method, was selected as the model amplification technique to demonstrate the feasibility of AUDG-NAAs-LFB. As a result, we demonstrate the applicability of the AUDG-MCDA-LFB method for simultaneously detecting high-risk human papillomaviruses genotypes 16 and 18, which are the most and second-most prevalent strains of the virus reported in women worldwide. We also confirm the principle behind the AUDG-MCDA- LFB assay and validate its sensitivity, reproducibility, and specificity using serial dilutions of the type-specific plasmids, as well as clinical samples. This proof- of-concept method （AUDG-MCDA-LFB） can be easily reconfigured to detect various nudeic acid sequences by redesigning the specific MCDA primers.
文摘Modeling land movements hazard by multi-criteria approach is a line of research to provide a methodological framework for risk mapping. This work is intended to establish a model for mapping “land movements hazard” by GIS approach based on multi-criteria analysis. The methodology is to create thematic maps by combining in GIS, determining factors (slope, lithology, water, …) in triggering landslides phenomena and shrinking-swelling soil, using the method of Weighted Sum Model (WSM). These maps are then combined to provide a hazard map of land movements. The application of this method allows the spatial distribution of different criteria and phenomena in Berhoum area, region of Hodna Basin, eastern Algeria. As a result, the study area has been divided into four different areas: 1) areas with no land movements hazard, 2) areas with a medium land movements hazard, 3) areas with a high land movements hazard, and 4) areas with very high land movements hazard.
