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| 1 | Analysing the relationship between drought and soil erosion using vegetation health index and RUSLE models in Godavari middle sub-basin,India显示文摘Drought is a natural phenomenon posing severe implications for soil,groundwater and agricultural yield.It has been recognized as one of the most pervasive global change drivers to affect the soil.Soil being a weakly renewable resource takes a long time to form,but it takes no time to degrade.However,the response of soil to drought conditions as soil loss is not manifested in the existing literature.Thus,this study makes a concerted effort to analyze the relationship between drought conditions and soil erosion in the middle sub-basin of the Godavari River in India.MODIS remote sensing data was utilized for driving drought indices during 2000-2019.Firstly,we constricted Temperature condition index(TCI)and Vegetation Condition Index(VCI)from Land Surface Temperature(LST)and Enhanced Vegetation Index(EVI)derived from MODIS data.TCI and VCI were then integrated to determine the Vegetation Health Index(VHI).Revised Universal Soil Loss Equation(RUSLE)was utilized for estimating soil loss.The relationship between drought condition and vegetation was ascertained using the Pearson correlation.Most of the northern and southern watersheds experienced severe drought condition in the sub-basin during2000-2019.The mean frequency of the drought occurrence was 7.95 months.The average soil erosion in the sub-basin was estimated to be 9.88 t ha^(-1)year^(-1).A positive relationship was observed between drought indices and soil erosion values(r value being 0.35).However,wide variations were observed in the distribution of spatial correlation.Among various factors,the slope length and steepness were found to be the main drivers of soil erosion in the sub-basin.Thus,the study calls for policy measures to lessen the impact of drought and soil erosion. | Md Masroor Haroon Sajjad Sufia Rehman Roshani Singh Md Hibjur Rahaman Mehebub Sahana Raihan Ahmed Ram Avtar | 2022 | Geoscience Frontiers2022，13，2： | 4 |
| 2 | An assessment study of absorption effect:LED vs tungsten halogen lamp for noninvasive glucose detection显示文摘Noninvasive gluoose monitoring development is critical for diabetic patient continuous moni-toring.However,almost all the available devices are invasive and painful.Noninvasive methods such as using spectroscopy have shown some good results.Unfortunately,the drawback was that the tungsten halogen lamps 1usage that is impractical if applied on human skin.This paper compared the light emitting diode(LED)to traditional tungsten halogen lamps as light source for glucose detection where the type of light source plays an important role in achieving a good spectrum quality.Glucose concentration measurement has been developed as part of noninvasive technique using optical spectroscopy.Small change and overlapping in tungsten halogen results need to replace it with a more convenient light source such as LED.Based on the result obtained,the performance of LED for absorbance spectrum gives a signifcantly different and is directly proportional to the glucose concentration.The result shows a linear trend and scucssully detects lowest at 60 to 160 mg/dL glucose concentration. | Nur Ain Mohd Aziz Norhana Arsad P.Susthitha Menon Sahbudin Shaari Zalhan Md Yusof Abdur Rehman Laili | 2015 | Journal of Innovative Optical Health Sciences2015，8，2： | 2 |
| 3 | Characteristics of the novel interleukin family biomarker ST2 in patients with acute heart failure显示文摘 | Shafiq U Rehman MD Thomas M | 2008 | J Am Coll Cardiol2008，18，52： | 1 |
| 4 | Use of amino-terminal pro-B-type natriuretic peptide to guide outpatient therapy of patients with chronic left ventricular systolic dysfunction 显示文摘 | JAMES L JANUZZI JR MD SHAFIQ U REHMAN M D ASIM A MOHAMMED M D ANJU BHARDWAJ M D LINDA BARAJAS R N JUSTINE BARAJAS HAN-NA KIM M D MPH AARON L BAGGISH M D RORY B WEINER M D ANNABEL CHEN-TOURNOUX MD JANE E MARSHALL RDCS STEPHANIE A MOORE M D WILLIAM D CARLSON M D GREGORY D LEWIS M D JORDAN SHIN M D DOROTHY SULLIVAN ANP KIMBERLY PARKS D O THOMAS J WANG M D SHAWN A GREGORY M D SHANMUGAM UTHAMALINGAM M D MARC J SEMIGRAN M D | 2011 | J Am Coll Cardiol2011，58，18： | 1 |
| 5 | Assessment of crop damage by wildlife in Chunati Wilklife Sanctuary显示文摘 | Miah MD Rehman ML Ahsan MF | 2001 | Balgladesh Tiger- paper2001，28，4： | 1 |
| 6 | Estimation of Genetic Divergence and Character Association Studies in Local and Exotic Diversity Panels of Soybean(Glycine max L.)Genotypes显示文摘The availability of favorable genetic diversity is a thriving vitality for the success of a breeding program.It provides a firm basis of selecting superior breeding lines for the development of high yielding crop genotypes.In this context,present investigation aimed to generate information on genetic divergence and character association in a diversity panel of 123 local and exotic soybean genotypes.Analysis of variance revealed significant response of the evaluated genotypes based on studied attributes.It depicted the probability of selecting desirable soybean genotypes by focusing on character association studies and genetic diversity analysis.Correlation analysis revealed that seed yield per plant showed high positive correlation with 100-seed weight followed by pods per plant and plant height.Furthermore,path coefficient analysis exposed that pods per plant had maximum direct contribution in seed yield per plant followed by 100-seed weight,days to flowering and SPAD measurement.Genotype named“G-10”showed maximum yield per plant followed by 24607,G-52,24593,Arisoy,24566,17426,A-3127,24570 and 24567.Genetic diversity analysis grouped the evaluated germplasm into 17 clusters.All clusters showed zero intra-cluster variability;while inter-cluster divergence ranged from 9.00 to 91.11.Cluster V showed maximum inter-cluster distance with cluster XII followed by that of between V and VIII.Moreover,cluster IV with superior genotypes(G-10,24607,24593 and 24566),VI(17426 and 24567),XIII(24570)and X(Arisoy and G-52)showed above mean values for most of the studied characters.Overall,the results of hybridization between the superior genotypes of these cluster pairs might be useful for soybean breeding with improving agronomic traits and adaptability. | Syed Ali Zafar Muhammad Aslam Haroon Zaman Khan Sehrish Sarwar Rao Saad Rehman Mariam Hassan Ramala Masood Ahmad Rafaqat AGill Basharat Ali Ibrahim Al-Ashkar Abdullah Ibrahim Md Atikur Rahman Ayman El Sabagh | 2023 | Phyton-International Journal of Experimental Botany2023，92，6： | 0 |
| 7 | 如何年轻30岁?显示文摘为了年轻三十岁,歌德笔下的浮士德愿意与魔鬼交易。从《浮士德》第一次登台,至今已经将近两个世纪了,然而时至今日,我们仍在探索逆转衰老的方法。那一能令人恢复青春的神奇药水依旧令人捉摸不透,世间并没有真正能令人重返青春的神奇药水。 | Jalees Rehman MD 廖秀梅 | 2015 | 科学咨询2015，0，30： | 0 |
| 8 | 麻醉信息管理系统的使用:一项实践指南显示文摘麻醉信息管理系(AnesthesiaInformationMangementsysterns,AIMS)显示和储存围手术期的生理学数据和患者信息。虽然目前应用有限,但是在提高患者安全、改进临床效果和质量、简便收费和明细医疗费用、规范执行以及研究麻醉转归等方面都有巨大的优势。虽然关于AIMS选择、安装和应用的程序和注意事项比较复杂,但是这些都可以通过不断摸索而明确。本文总结介绍了AIMS成功使用的基本要素,包括产品评估、信息技术需求评价、资源获得、领导的作用以及培训等。 | Stanley Muravchick, MD, PhD James E. Caldwell, MB, ChB Richard H. Epstein, MD Maria Galati, MBA Warren J. Levy, MD Michael O'Reilly, MD Jeffrey S. Plagenhoef, MD Mohamed Rehman, MD David L. Reich, MD Michael M. Vigoda, MD, MBA 任思宏(译) 刘兴奎(校) 喻田(校) | 2010 | 麻醉与镇痛2010，，2： | 0 |
| 9 | Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides显示文摘In this paper,we developed highly accurate ensemble machine learning models integrating Reduced Error Pruning Tree(REPT)as a base classifier with the Bagging(B),Decorate(D),and Random Subspace(RSS)ensemble learning techniques for spatial prediction of rainfallinduced landslides in the Uttarkashi district,located in the Himalayan range,India.To do so,a total of 103 historical landslide events were linked to twelve conditioning factors for generating training and validation datasets.Root Mean Square Error(RMSE)and Area Under the receiver operating characteristic Curve(AUC)were used to evaluate the training and validation performances of the models.The results showed that the single REPT model and its derived ensembles provided a satisfactory accuracy for the prediction of landslides.The D-REPT model with RMSE=0.351 and AUC=0.907 was identified as the most accurate model,followed by RSS-REPT(RMSE=0.353 and AUC=0.898),B-REPT(RMSE=0.396 and AUC=0.876),and the single REPT model(RMSE=0.398 and AUC=0.836),respectively.The prominent ensemble models proposed and verified in this study provide engineers and modelers with insights for development of more advanced predictive models for different landslide-susceptible areas around the world. | Binh Thai Pham Abolfazl Jaafari Trung Nguyen-Thoi Tran Van Phong Huu Duy Nguyen Neelima Satyam Md Masroor Sufia Rehman Haroon Sajjad Mehebub Sahana Hiep Van Le Indra Prakash | 2021 | International Journal of Digital Earth2021，14，5： | 0 |
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