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Application of Zinc, Iron and Boron Enhances Productivity and Grain Biofortification of Mungbean

Phyton-International Journal of Experimental Botany 2023年第4期92卷 983-999页

作者： muhammad Zafar Siraj Ahmed muhammad Kashif Munir Nawal Zafar muhammad Saqib muhammad aleem sarwar Saba Iqbal Baber Ali Naveed Akhtar Basharat Ali Sadam Hussain muhammad Saeed Mohammad Khalid Al-Sadoon Aneela Gulnaz Agronomic Research Institute Ayub Agricultural Research Institute FaisalabadFaisalabad38000Pakistan Soil and Water Testing Laboratory Ayub Agricultural Research Institute FaisalabadFaisalabad38000Pakistan Department of Plant Sciences Quaid-i-Azam UniversityIslamabad45320Pakistan Department of Agricultural Engineering Khwaja Fareed University of Engineering and TechnologyRahim Yar Khan64200Pakistan College of Agronomy Northwest A&F UniversityYangling712100China Plant Pathology Research Institute Faisalabad38000Pakistan Department of Zoology College of ScienceKing Saud UniversityRiyadh11451Saudi Arabia Department of Biotechnology Yeungnam UniversityGyeongsan38641Korea

Deficiencies of essential vitamins,iron(Fe),and zinc(Zn)affect over one-half of the world’s population.A significant progress has been made to control micronutrient deficiencies through supplementation,but new approaches are needed,especially to reach the rural *** biofortification of pulses with Zn,Fe,and boron(B)offers a pragmatic solution to combat hidden hunger instead of food fortification and ***,it also has positive effects on crop production as ***,we conducted three separate field experiments for two consecutive years to evaluate the impact of soil and foliar application of the aforementioned nutrients on the yield and seed biofortification of *** application of Zn at 0,4.125,8.25,Fe at 0,2.5,5.0 and B at 0,0.55,1.1 kg ha−1 was done in the first,second and third experiment,*** application in these experiments was done at 0.3%Zn,0.2%Fe and 0.1%B respectively one week after flowering *** revealed that soil-applied Zn,Fe and B at 8.25,5.0 and 1.1 kg ha−1,respectively,enhanced the grain yield of mungbean;however,this increase in yield was statistically similar to that recorded with Zn,Fe and B at 4.125,2.5 and 0.55 kg ha−1,*** application of these nutrients at flower initiation significantly enhanced the Zn contents by 28%and 31%,Fe contents by 80%and 78%,while B contents by 98%and 116%over control during 2019 and 2020,*** was concluded from the results that soil application of Zn,Fe,and B enhanced the yield performance of mungbean;while significant improvements in seed Zn,Fe,and B contents were recorded with foliar application of these nutrients.

关键词： Biofortification seed biofortification mungbean iron zinc boron foliar application

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Exploring aramid as emerging contender for CO_2 capture

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Chinese Journal of Chemical Engineering 2016年第7期24卷 850-855页

作者： Sonia Zulfiqar muhammad Ilyas sarwar Department of Chemistry School of Natural Sciences (SNS) National University of Sciences and Technology (NUST) Department of Chemistry Quaid-i-Azam University

To prevent CO_2 accumulation in the atmosphere generated from scorching of fossil fuels, carbon capture and sequestration(CCS) technology is considered as a potential route to mitigate the emissions of CO_2 from reaching the atmosphere. Power generation from sources such as gas, coal and biomass can fulfill the energy demand more readily than many other sources of electricity production. Thus these sources may be retained as important alternative option in the global energy cycle. In order to curtail CO_2, porous aramid network was fabricated by the condensation of 1,3,5-benzenetricarbonyl trichloride and 1,3-phenylenediamine in 1,4-dioxane solvent. Aramid was characterized for various analyses including FTIR, XRD, TGA, BET surface area and pore size analysis, FESEM and CO_2 adsorption measurements. Excellent thermal stability was provided by strong amide linkages in the polymer backbone. Optimum CO_2 uptake of aramid was achieved to be 23.14 mg·g^(-1) at 273 K at 0.1 MPa. The basic amide groups of network structure showed greater affinity for CO_*** thermal stability of aramid makes it a promising sorbent for CO_2 capture in adverse conditions.

关键词： Greenhouse gasCO2 capturePolymers

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Probing the potential of polyester for CO_2 capture

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Journal of Environmental Sciences 2014年第7期26卷 1423-1427页

作者： Sonia Zulfiqar muhammad Ilyas sarwar Department of Chemistry School of Natural Sciences (SNS) National University of Sciences and Technology (NUST)Islamabad 44000 Pakistan Department of Chemistry Quaid-i-Azam University Islamabad 45320 Pakistan

Global warming, the major environmental issue confronted by humanity today, is caused by rising level of green house gases. Carbon capture and storage technologies offer potential for tapering CO2 emission in the atmosphere. Adsorption is believed to be a promising technology for CO2 capture. For this purpose, a polyester was synthesized by polycondensation of1,3,5-benzenetricarbonyl trichloride and cyanuric acid in pyridine and dichloromethane mixture. The polymer was then characterized using FT-IR, TGA, BET surface area and pore size analysis, FESEM and CO2 adsorption measurements. The CO2 adsorption capacities of the polyester were evaluated at a pressure of 1 bar and two different temperatures（273 and 298 K）.The performance of these materials to adsorb CO2 at atmospheric pressure was measured by optimum CO2 uptake of 0.244 mmol/g at 273 K. The synthesized polyester, therefore, has the potential to be exploited as CO2 adsorbent in pre-combustion capture process.

关键词： PolyesterCO2 captureTGAFESEM

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Statistical Inference of User Experience of Multichannel Audio on Mobile Phones

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Computers, Materials & Continua 2020年第11期65卷 1253-1270页

作者： Fesal Toosy muhammad sarwar Ehsan University of Central Punjab Lahore54700Pakistan

Mobile phones and other handheld electronic devices are now ubiquitous and play an important role in our everyday *** the last decade,we have seen a sharp rise in the sophistication of both hardware and software for these devices,thus significantly increasing their utility and *** devices are now commonly used for the streaming of audio and video and for the regular playback of *** audio has now become a popular format and with recent updates in software,the latest audio codecs that support this format can effectively be played back on most electronic *** a result,more audio content that is now compatible with these devices is being *** is important to perform subjective quality tests for multichannel audio verses traditional stereo and mono on devices like mobile phones while using *** paper presents the results and analysis of such listening tests that evaluate basic audio quality and quality of *** results show that while multichannel audio scores higher than stereo and mono for both of these attributes,the difference in score was less for the ratings of quality of *** results were processed using an Analysis of Variance(ANOVA)to show the statistical *** of the effect size showed that the audio content had little bearing on the results.

关键词： Subjective assessment multichannel audio MUSHRA listening test

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Improved Hybrid Deep Collaborative Filtering Approach for True Recommendations

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Computers, Materials & Continua 2023年第3期74卷 5301-5317页

作者： muhammad Ibrahim Imran sarwar Bajwa Nadeem sarwar Haroon Abdul Waheed muhammad Zulkifl Hasan muhammad Zunnurain Hussain Department of Computer Science The Islamia University of BahawalpurBahawalpurPakistan Department of Computer Science Bahria University Lahore CampusLahorePakistan Software Engineering Department Faculty of ITUniversity of Central PunjabLahorePakistan Faculty of Computer Science and Information Technology Universiti Putra MalaysiaSelangorMalaysia

Recommendation services become an essential and hot research topic for researchers *** data such asReviews play an important role in the recommendation of the *** was achieved by deep learning approaches for capturing user and product information from a short ***,such previously used approaches do not fairly and efficiently incorporate users’preferences and product *** proposed novel Hybrid Deep Collaborative Filtering(HDCF)model combines deep learning capabilities and deep interaction modeling with high performance for True *** overcome the cold start problem,the new overall rating is generated by aggregating the Deep Multivariate Rating DMR(Votes,Likes,Stars,and Sentiment scores of reviews)from different external data sources because different sites have different rating scores about the same product that make confusion for the user to make a decision,either product is truly popular or *** proposed novel HDCF model consists of four major modules such as User Product Attention,Deep Collaborative Filtering,Neural Sentiment Classifier,and Deep Multivariate Rating(UPA-DCF+NSC+DMR)to solve the addressed *** results demonstrate that our novel model is outperforming state-of-the-art IMDb,Yelp2013,and Yelp2014 datasets for the true top-n recommendation of products using HDCF to increase the accuracy,confidence,and trust of recommendation services.

关键词： Neural sentiment classification user product attention deep collaborative filtering multivariate rating artificial intelligence

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Presentation delay in breast cancer patients and its association with sociodemographic factors in North Pakistan

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Chinese Journal of Cancer Research 2015年第3期27卷 288-293页

作者： muhammad aleem Khan Sheharyar Hanif Sundas Iqbal muhammad Faheem Shahzad Sehrish Shafique muhammad Taha Khan Department of Nuclear Medicine Nuclear MedicineOncology and Radiotherapy Institute Department of Medicine Ziauddin Medical University Armed Forces Institute of Cardiology Department of Physiology Rawal Institute of Health Sciences Nuffield Brentwood Hospital

Background： There is strong evidence that delayed diagnosis of breast cancer is associated with poor survival. The objectives were to determine the frequency of breast cancer patients with delayed presentation, the reasons of delay and its association with different socio-demographic variables in our ***： We interviewed 315 histologically confirmed breast cancer patients. Delay was defined as more than 3 months from appearance of symptoms to the consultation from doctor. Questions were asked from each patient which could reflect their understanding about the disease and which could be the likely reasons for their delayed ***： A total of 39.01%（n=123） of patients presented late and out of those, 40.7% wasted time using alternative medicines; 25.2% were not having enough resources; 17.1% presented late due to painless lump; 10.6% felt shyness and 6.5% presented late due to other reasons. Higher age, negative family history, 〈8 school years of education and low to middle socio-economic status were significantly associated with delayed presentation（P〈0.05）. Education and socioeconomic status were two independent variables related to the delayed presentation after adjustment for others [odds ratios（OR） of 2.26, 2.29 and 95% confidence intervals（CI） was 1.25-4.10, 1.06-4.94 respectively].Conclusions： Significant percentage of women with breast cancer in North Pakistan is experiencing presentation delay due to their misconceptions about the disease. Coordinated efforts with public health department are needed to educate the focused groups and mitigating the barriers identified in the study. Long term impact will be reduced overall burden of the disease in the region.

关键词： Breast cancer delayed diagnosis survival

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A Deep Learning Approach for Prediction of Protein Secondary Structure

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Computers, Materials & Continua 2022年第8期72卷 3705-3718页

作者： muhammad Zubair muhammad Kashif Hanif Eatedal Alabdulkreem Yazeed Ghadi muhammad Irfan Khan muhammad Umer sarwar Ayesha Hanif Department of Computer Science Government College UniversityFaisalabadPakistan Department of Computer Science College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh 11671Saudi Arabia Department of Software Engineering/Computer Science Al Ain UniversityAbu DhabiUnited Arab Emirates

The secondary structure of a protein is critical for establishing a link between the protein primary and tertiary *** this reason,it is important to design methods for accurate protein secondary structure *** of the existing computational techniques for protein structural and functional prediction are based onmachine learning with *** deep learning architectures have already been applied to tackle protein secondary structure prediction *** this study,deep learning based models,i.e.,convolutional neural network and long short-term memory for protein secondary structure prediction were *** input to proposed models is amino acid sequences which were derived from CulledPDB *** tuning with cross validation was employed to attain best parameters for the proposed *** proposed models enables effective processing of amino acids and attain approximately 87.05%and 87.47%Q3 accuracy of protein secondary structure prediction for convolutional neural network and long short-term memory models,respectively.

关键词： Convolutional neural network machine learning protein secondary structure deep learning long short-term memory protein secondary structure prediction

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Numerical Control Measures of Stochastic Malaria Epidemic Model

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Computers, Materials & Continua 2020年第10期65卷 33-51页

作者： muhammad Rafiq Ali Ahmadian Ali Raza Dumitru Baleanu muhammad sarwar Ahsan Mohammad Hasan Abdul Sathar Faculty of Engineering University of Central PunjabLahorePakistan Institute of Visual Informatics National University of MalaysiaBangi43600 UKMMalaysia Faculty of Computing National College of Business Administration and EconomicsLahorePakistan Department of Mathematics Cankaya UniversityAnkara06530Turkey Centre of Foundation Studies for Agricultural Science Universiti Putra MalaysiaSerdang43400Malaysia

Nonlinear stochastic modeling has significant role in the all discipline of *** essential control measuring features of modeling are positivity,boundedness and dynamical ***,the existing stochastic methods in literature do not restore aforesaid control measuring features,particularly for the stochastic ***,these gaps should be occupied up in literature,by constructing the control measuring features numerical *** shall present a numerical control measures for stochastic malaria model in this *** results of the stochastic model are discussed in contrast of its equivalent deterministic *** the basic reproduction number is less than one,then the disease will be in control while its value greater than one shows the perseverance of disease in the *** standard numerical procedures are conditionally *** propose method is competitive and preserve all the control measuring features *** has also been concluded that the prevalence of malaria in the human population may be controlled by reducing the contact rate between mosquitoes and *** awareness programs run by world health organization in developing countries may overcome the spread of malaria disease.

关键词： Malaria disease model stochastic modelling stochastic methods convergence

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Liver-Tumor Detection Using CNN ResUNet

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Computers, Materials & Continua 2021年第5期67卷 1899-1914页

作者： muhammad Sohaib Aslam muhammad Younas muhammad Umar sarwar muhammad Arif Shah Atif Khan MIrfan Uddin Shafiq Ahmad muhammad Firdausi Mazen Zaindin Department of Computer Science Government College University FaisalabadFaisalabad38000Pakistan Department of IT and Computer Science Pak-Austria Fachhochschule Institute of Applied Sciences and TechnologyHaripur22620Pakistan Department of Computer Science Islamia College PeshawarPeshawarKPPakistan Institute of Computing Kohat University of Science and TechnologyKohatPakistan Department of Industrial Engineering College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia Department of Statistics and Operations Research College of ScienceKing Saud UniversityRiyadh11421Saudi Arabia

Liver tumor is the fifth most occurring type of tumor in men and the ninth most occurring type of tumor in women according to recent reports of Global cancer statistics *** are several imaging tests like Computed Tomography(CT),Magnetic Resonance Imaging(MRI),and ultrasound that can diagnose the liver tumor after taking the sample from the tissue of the *** tests are costly and *** paper proposed that image processing through deep learning Convolutional Neural Network(CNNs)ResUNet model that can be helpful for the early diagnose of tumor instead of conventional *** existing studies have mainly used the two Cascaded CNNs for liver segmentation and evaluation of Region Of Interest(ROI).This study uses ResUNet,an updated version of U-Net and ResNet Models that utilize the service of Residential *** apply over method on the 3D-IRCADb01 dataset that is based on CT slices of liver tumor affected *** results showed the True Value Accuracy around 99%and F1 score performance around 95%.This method will be helpful for early and accurate diagnose of the Liver tumor to save the lives of many patients in the field of Biotechnology.

关键词： Liver tumor diagnose ResUNet CNNs segmentation

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A Rule Based System for Speech Language Context Understanding

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Journal of Donghua University(English Edition) 2006年第6期23卷 39-42页

作者： Imran sarwar Bajwa muhammad Abbas Choudhary CISUC-Department of Informatics Engineering University of Coimbra Balochistan University of Information Technology and Management Sciences

Speech or Natural language contents are major tools of communication. This research paper presents a natural language processing based automated system for understanding speech language text. A new rule based model has been presented for analyzing the natural languages and extracting the relative meanings from the given text. User writes the natural language text in simple English in a few paragraphs and the designed system has a sound ability of analyzing the given script by the user. After composite analysis and extraction of associated information, the designed system gives particular meanings to an assortment of speech language text on the basis of its context. The designed system uses standard speech language rules that are clearly defined for all speech languages as English, Urdu, Chinese, Arabic, French, etc. The designed system provides a quick and reliable way to comprehend speech language context and generate respective meanings.

关键词： automatic text understanding speech language processing information extraction language engineering.

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