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6篇 您的检索式:作者名="Muhammad Akhtar Abbas"
    题名 作者 年代 出处 被引量
1Nitrogen transport and transformation in Dacked soil columns frompaddy fields显示文摘Hideo Nakasone Muhammad Akhtar Abbas Hisao Kuroda 2004Paddy and Water Environment2004,2,3:1
2Nitrogen transport and transformation in packed soil columns from paddy fields显示文摘Hideo Nakasone Muhammad Akhtar Abbas Hisao Kuroda 2004Paddy and Water Environment2004,2,3:1
3Drought Stress Impairs Grain Yield and Quality of Rice Genotypes by Impaired Photosynthetic Attributes and K Nutrition显示文摘Drought is one of the most prevalent abiotic stresses that adversely affect rice productivity(Petrozza et al, 2014). Rice is very sensitive to drought stress and drought can cause 50% reduction in rice production globally(Yang et al, 2008). To meet the food needs for global population, 63% more agricultural production will be required by the year 2050 than.Muhammad Zahid MUMTAZ Muhammad SAQIB Ghulam ABBAS Javaid AKHTAR Zia Ul-QAMAR 2020Rice science2020,27,1:1
4COVIDX: Computer-aided diagnosis of COVID-19 and its severity prediction with raw digital chest X-ray scans显示文摘Background: Coronavirus disease (COVID-19) is a contagious infection caused by severe acute respiratory syndrome coronavirus-2 (SARS-COV-2) and it has infected and killed millions of people across the globe.Objective: In the absence or inadequate provision of therapeutic treatments of COVID-19 and the limited convenience of diagnostic techniques, there is a necessity for some alternate spontaneous screening systems that can easily be used by the physicians to rapidly recognize and isolate the infected patients to circumvent onward surge. A chest X-ray (CXR) image can effortlessly be used as a substitute modality to diagnose the COVID-19.Method: In this study, we present an automatic COVID-19 diagnostic and severity prediction system (COVIDX) that uses deep feature maps of CXR images along with classical machine learning algorithms to identify COVID-19 and forecast its severity. The proposed system uses a three-phase classification approach (healthy vs unhealthy, COVID-19 vs pneumonia, and COVID-19 severity) using different conventional supervised classification algorithms.Results: We evaluated COVIDX through 10-fold cross-validation, by using an external validation dataset, and also in a real setting by involving an experienced radiologist. In all the adopted evaluation settings, COVIDX showed strong generalization power and outperforms all the prevailing state-of-the-art methods designed for this purpose.Conclusions: Our proposed method (COVIDX), with vivid performance in COVID-19 diagnosis and its severity prediction, can be used as an aiding tool for clinical physicians and radiologists in the diagnosis and follow-up studies of COVID-19 infected patients.Availability: We made COVIDX easily accessible through a cloud-based webserver and python code available at https://sites.google.com/view/wajidarshad/software and http://gffzz188fe103f8f1460asqnkcf9kfpwnv6w5x.ffgz.tsg.suse.edu.cn/wajidarshad/covidx, respectively.Wajid Arshad Abbasi Syed Ali Abbas Saiqa Andleeb Maryum Bibi Fiaz Majeed Abdul Jaleel Muhammad Naveed Akhtar 2022Quantitative Biology2022,10,2:0
5巴基斯坦西瓦里克道克派珊组豕脊齿象属(长鼻目)新材料(英文)显示文摘褶齿豕脊齿象(Choerolophodon corrugatus)是豕脊齿象属在巴基斯坦西瓦里克群发现的唯一种。其首次发现是在西瓦里克亚群下部的卡米列组(中新世晚期),而后大量见于西瓦里克亚群中段的道克派珊组(中新世晚期至上新世早期)。本次报道的褶齿豕脊齿象新材料发现于道克派珊模式产地及其邻近区域。发现的材料包括象牙、下颌、上颌碎片以及一些乳前臼齿和臼齿。新材料与欧洲的Ch. pentelici的牙齿特征极其相似,但在头骨和下颌特征上有所区别。Sayyed Ghyour ABBAS Muhammad Akbar KHAN Muhammad Adeeb BABAR Muhammad HANIF Muhammad AKHTAR 2018古脊椎动物学报2018,56,4:0
6Improving Quantitative and Qualitative Characteristics of Wheat (Triticum aestivum L.) through Nitrogen Application under Semiarid Conditions显示文摘Nitrogen(N),the building block of plant proteins and enzymes,is an essential macronutrient for plant functions.A field experiment was conducted to investigate the impact of different N application rates(28,57,85,114,142,171,and 200 kg ha^(−1))on the performance of spring wheat(cv.Ujala-2016)during the 2017–2018 and 2018–2019 growing seasons.A control without N application was kept for comparison.Two years mean data showed optimum seed yield(5,461.3 kg ha^(−1))for N-application at 142 kg ha^(−1) whereas application of lower and higher rates of N did not result in significant and economically higher seed yield.A higher seed yield was obtained in the 2017–2018(5,595 kg ha^(−1))than in the 2018–2019(5,328 kg ha^(−1))growing seasons under an N application of 142 kg ha^(−1).It was attributed to the greater number of growing degree days in the first(1,942.35°C days)than in the second year(1,813.75°C).Higher rates of N(171 and 200 kg ha^(−1))than 142 kg ha^(−1) produced more number of tillers(i.e.,948,300 and 666,650 ha^(−1),respectively).However,this increase did not contribute in achieving higher yields.Application of 142,171,and 200 kg ha^(−1) resulted in 14.15%,15.0%and 15.35%grain protein concentrations in comparison to 13.15%with the application of 114 kg ha^(−1).It is concluded that the application of N at 142 kg ha^(−1) could be beneficial for attaining higher grain yields and protein concentrations of wheat cultivar Ujala-2016.Muhammad Rafiq Muhammad Saqib Husnain Jawad Talha Javed Sadam Hussain Muhammad Arif Baber Ali Muhammad Sultan Ali Bazmi Ghulam Abbas Marjan Aziz Mohammad Khalid Al-Sadoon Aneela Gulnaz Sobhi F.Lamlom Muhammad Azeem Sabir Jameel Akhtar 2023Phyton-International Journal of Experimental Botany2023,92,4:0
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