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Basal Application of Zinc to Improve Mung Bean Yield and Zinc-Grains-Biofortfication

Phyton-International Journal of Experimental Botany 2020年第1期89卷 87-96页

作者： Aroosa Kanwal Muhammad Bismillah Khan Mubshar Hussain Muhammad naeem Muhammad Shahid Rizwan Muhammad Zafar-ul-Hye Department of Agronomy Bahauddin Zakariya UniversityMultan66000Pakistan Agriculture Discipline College of Science HealthEngineering and EducationMurdoch UniversityMurdochWA6150Australia Cholistan Institute of Desert Studies The Islamia University of Bahawalpur63100Pakistan Department of Soil Science Bahauddin Zakariya UniversityMultan66000Pakistan

Worldwide,the dietary deficiency of zinc(Zn)is prevailing in almost all arid and semi-arid *** deficiency is not only the major constraint of lower yield,but also dietary Zn deficiency in cereals grains may cause increasing malnutrition and chronic health problems in *** application of Zn through basal soil nutrition might be a useful option to recover Zn deficiency in mung ***,field study was conducted to optimize the optimum level and method of Zn nutrition to enhance crop yield and Zn biofortification of mung bean through basal *** was applied at 0,5,10 and 15 kg/ha as basal application and side dressing,and in combination(50%basal application+50%side dressing).The results highlighted that Zn nutrition prominently improved the mung bean yield as compared with control(no Zn applied).The maximum grains yield and Zn concentration in grains were obtained where Zn was applied at 15 kg/ha as basal application as compared with all other *** improvement in grain yield was due to significant increase in more number of pods and grain size owing to well-developed root system,improved leaf area index and high chlorophyll contents in mung beans *** all applied Zn nutrition’s the basal application of Zn(15 kg/ha)was a viable option to get higher yield and Zn biofortification of mung bean.

关键词： Mung bean zinc biofortification basal application soil dressing

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Growth and optical properties of InxGa1-xP nanowires synthesized by selective-area epitaxy

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Nano Research 2017年第2期10卷 672-682页

作者： Alexander Berg Philippe Caroff naeem Shahid Mark N. Lockrey Xiaoming Yuan Magnus T. Borgstrom Hark Hoe Tan Chennupati Jagadish Solid State Physics and NanoLund Lund University Box 118 SE-221 00 Lund Sweden Department of Electronic Materials Engineering Research School of Physics and Engineering The Australian National University Canberra ACT2601 Australia Australian National Fabrication Facility Research School of Physics and Engineering The Australian National University Canberra ACT 2601 Australia

Ternary III-V nanowires （NWs） cover a wide range of wavelengths in the solar spectrum and would greatly benefit from being synthesized as position-controlled arrays for improved vertical yield, reproducibility, and tunable optical absorption. Here, we report on successful selective-area epitaxy of metal-particle-free vertical InxGa1-xP NW arrays using metal-organic vapor phase epitaxy and detail their optical properties. A systematic growth study establishes the range of suitable growth parameters to obtain uniform NW growth over a large array. The optical properties of the NWs were characterized by room-temperature cathodoluminescence spectroscopy. Tunability of the emission wavelength from 870 nm to approximately 800 nm was achieved. Transmission electron microscopy and energy dispersive X-ray measurements performed on cross- section samples revealed a pure wurtzite crystal structure with very few stacking faults and a slight composition gradient along the NW growth axis.

关键词： nanowire InGaP selective-area epitaxy cathodoluminescence energy-dispersive X-ray spectroscopy

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Effects of Dissimilar Alumina Particulates on Microstructure and Properties of Cold-Sprayed Alumina/A380 Composite Coatings

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Acta Metallurgica Sinica(English Letters) 2019年第12期32卷 1449-1458页

作者： Xiang Qiu naeem ul Haq Tariq Lu Qi Jun-Rong Tang Xin-Yu Cui Hao Du Ji-Qiang Wang Tian-Ying Xiong Institute of Metal Research Chinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China University of Chinese Academy of Sciences No.19(A)Yuquan RoadShijingshan DistrictBeijing 100049China Department of Metallurgy and Materials Engineering Institute of Engineering and Applied SciencesNiloreIslamabadPakistan

In this study,alumina/A380 composite coatings were fabricated by cold *** influence of alumina particulates,morphology(spherical and irregular)and content on the deposition behavior of the coatings(including surface roughness,surface residual stress,cross-sectional microstructure and microhardness)was *** revealed that the spherical alumina mainly shows micro-tamping effect during deposition,which result in remarkable low surface roughness and porosity of the *** addition,very low deposition efficiency and good interfacial bonding between the coating and the substrate were *** irregular alumina particles,the embedding of ceramic particulates in the coating was dominant during deposition process,resulting in high retention in the final ***,it showed limited influence on porosity,surface roughness and interfacial bonding of the *** coatings containing irregular alumina particulates exhibited much higher microhardness than those containing spherical alumina due to the higher load-bearing capacity of deposited alumina.

关键词： Cold spray Alumina particles Microstructure Micro-tamping effect Embedding effect

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Three Tier Fog Networks: Enabling IoT/5G for Latency Sensitive Applications

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China Communications 2019年第3期16卷 1-11页

作者： Romana Shahzadi Ambreen Niaz Mudassar Ali Muhammad naeem Joel J.P.C.Rodrigues Farhan Qamar Syed Muhammad Anwar University Engineering and Technology COMSATS University Islamabad Wah campus National Institute of Telecommunications (Inatel) Instituto de Telecomunicac??es University ITMO University of Fortaleza (Unifor)

Following the progression in Internet of Things(IoT) and 5G communication networks, the traditional cloud computing model have shifted to fog computing. Fog computing provides mobile computing, network control and storage to the network edges to assist latency critical and computation-intensive applications. Moreover, security features are improved in fog paradigm by processing critical data on edge devices instead of data centres outside the control plane of users. However, fog network deployment imposes many challenges including resource allocation, privacy of users, non-availability of programming model and testing software and support for the heterogenous networks. This article highlights these challenges and their potential solutions in detail. This article also discusses threetier fog network architecture, its standardization and benefits in detail. The proposed resource allocation mechanism for three tier fog networks based on swap matching is described. Results show that by practicing the proposed resource allocation mechanism, maximum throughput with reduced latency is achieved.

关键词： cloud computing fog networks matching games internet of things

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Efficient and 1,8-diiodooctane-free ternary organic solar cells fabricated via nanoscale morphology tuning using small-molecule dye additive

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Nano Research 2017年第11期10卷 3765-3774页

作者： Shuhua Zhang Muhammad naeem Shah Feng Liu Zhongqiang Zhang Qin Hu Thomas P. Russell Minmin Shi Chang-Zhi Li Hongzheng Chen MOE Key Laboratory of Macromolecular Synthesis and Functionalization State Key Laboratory of Silicon Materials Department of Polymer Science amp Engineering Zhejiang University Hangzhou 310027 China Department of Physics and Astronomy Shanghai Jiao Tong University Shanghai 200240 China Materials Sciences Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA

The ternary strategy for incorporating multiple photon-sensitive components into a single junction has emerged as an effective method for optimizing the nanoscale morphology and improving the device performance of organic solar cells （OSCs）.In this study,efficient and stable ternary OSCs were achieved by introducing the small-molecule dye （5E,5＆#39;E）-5,5＆#39;-（4＆#39;,4″-（1,2-diphenylethene-1,2-diyl）bis（biphenyl-4＆#39;,4-diyl））bis（methan-1-yl-1-ylidene）bis（3-ethyl-2-thioxothia zolidin-4-one）（BTPERn） into poly[4,8-bis（5-（2-ethylhexyl）thiophen-2-yl）benzo[1,2-b：4,5-b＆#39;]dithiopheneco-3-fluorothieno[3,4-b]thiophene-2-carboxylate] （PTB7-Th）：[6,6]-phenyl C71 butyric acid methyl ester （PC71BM） blend films processed using a 1,8-diiodooctane （DIO）-free *** incorporation of BTPE-Rn enhanced the short-circuit current density and fill factor of the ternary OSCs compared with those of binary *** investigation of the optical,electronic,and morphological properties of the ternary blends indicated that the third component of BTPE-Rn not only promoted the photon utilization of blends through the energy-transfer process but also improved the electron mobility of the blends owing to the fullerene-rich nanophase *** importantly,this ternary strategy of utilizing a small-molecule dye to replace the photounstable DIO additive enhanced the operational stability of the OSCs.

关键词： ternary organic solar cell energy transfer mobility 1 8-diiodooctane (DIO)-free

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Optimizing Power Allocation for D2D Communication with URLLC under Rician Fading Channel:A Learning-to-Optimize Approach

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Intelligent Automation & Soft Computing 2023年第9期37卷 3193-3212页

作者： Owais Muhammad Hong Jiang Mushtaq Muhammad Umer Bilal Muhammad naeem Muhammad Ahtsam School of Information Engineering Southwest University of Science and TechnologyMianyang621010China School of Software Engineering Northeastern UniversityShenyang110167China School of Information and Software Engineering University of Electronic Sciences and TechnologyChengdu610000China

To meet the high-performance requirements of fifth-generation(5G)and sixth-generation(6G)wireless networks,in particular,ultra-reliable and low-latency communication(URLLC)is considered to be one of the most important communication scenarios in a wireless *** this paper,we consider the effects of the Rician fading channel on the performance of cooperative device-to-device(D2D)communication with *** better performance,we maximize and examine the system’s minimal rate of D2D *** to the interference in D2D communication,the problem of maximizing the minimum rate becomes non-convex and difficult to *** solve this problem,a learning-to-optimize-based algorithm is proposed to find the optimal power *** conventional branch and bound(BB)algorithm are used to learn the optimal pruning policy with supervised *** learning is used to train the multiple *** address the imbalanced problem,we used the supervised undersampling *** are made with the conventional BB algorithm and the heuristic *** outcome of the simulation demonstrates a notable performance improvement in power *** proposed algorithm has significantly low computational complexity and runs faster as compared to the conventional BB algorithm and a heuristic algorithm.

关键词： D2D URLLC rician fading supervised learning

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Oxygen/Sulfur Atom Exchange Copolymerization of Carbon Disulfide and Propylene Oxide by a Highly Effective Heterogeneous Berlin Green Catalyst

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Chemical Research in Chinese Universities 2023年第5期39卷 790-796页

作者： Munir Ullah KHAN Safir Ullah KHAN CAO Xiaohan Muhammad USMAN Muhammad naeem SHAH Abdul GHAFFAR Muhammad HASSAN ZHANG Chengjian ZHANG Xinghong State Key Laboratory of Motor Vehicle Biofuel Technology International Research Center for X PolymersDepartment of Polymer Science and EngineeringZhejiang UniversityHangzhou 310027P.R.China Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering Shanxi 030013P.R.China Hefei National Laboratory for Physical Science at the Microscale School of Life SciencesUniversity of Science and Technology of ChinaHefei 230027P.R.China Key Laboratory of Macromolecular Synthesis and Functionalization(Ministry of Education) International Research Center for X PolymersDepartment of Polymer Science and EngineeringZhejiang UniversityHangzhou 310027P.R.China College of Information Science and Electronic Engineering Zhejiang UniversityHangzhou 310027P.R.China Advanced Materials Research Center Zhejiang University-University of Illinois at Urbana-Champaign Institute(ZJU-UIUC)Haining 314400P.R.China

In this study,we report that Berlin Green(FeFe-BG)framework exhibits superior performance in the catalytic coupling of carbon disulfide(CS_(2))and propylene oxide(PO)to generate a random copolymer containing thioether,propylene monothiocarbonate and ether *** and sulfur atom exchange was detected in polymeric and cyclic thiocarbonate byproducts and utilized to modulate the copolymerization of CS_(2)and propylene *** coupling of PO and CS_(2)was selective for copolymer formation under various reaction conditions.^(1)H and^(13)C NMR spectroscopy determined two distinct polymer linkages and two cyclic *** number average molecular weights ranged from 6.4 kg/mol to 10.5 kg/mol,with a comparatively low polydispersity of *** CS_(2)/PO molar feed ratio had a significant impact on the O/S exchange process;the ratio of cyclic thiocarbonate byproducts could be efficiently regulated by tuning the CS_(2)molar feed ratio.

关键词： Carbon disulfide Copolymerization Prussian Blue analogue Heterogeneous catalysis Berlin Green

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In vitro-in vivo correlation study on nimesulide loaded hydroxypropylmethylcellulose microparticles

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药学学报 2010年第6期45卷 772-777页

作者： Shujaat Ali KHAN Mahmood AHMAD Ghulam MURTAZA Muhammad naeem AAMIR Rozina KOUSAR Fatima RASOOL Shahiq-u-ZAMAN Faculty of Pharmacy & Alternative Medicine the Islamia University of Bahawalpur

This study involves mathematical simulation model such as in vitro-in vivo correlation(IVIVC) development for various extended release formulations of nimesulide loaded hydroxypropylmethylcellulose(HPMC) microparticles(M1,M2 and M3 containing 1,2,and 3 g HPMC,respectively and 1 g drug in each) having variable release *** vitro dissolution data of these formulations were correlated to their relevant in vivo absorption profiles followed by predictability worth analysis of these Level A *** was used as control formulation to validate developed formulations and their respective *** regression coefficients of IVIVC plots for M1,M2,M3 and Nimaran were 0.834 9,0.831 2,0.927 2 and 0.898 1,*** internal prediction error for all formulations was within limits,i.e.,<10%.A good IVIVC was found for controlled release nimesulide loaded HPMC floating M3 *** other words,this mathematical simulation model is best fit for biowaiver studies which involves study parameters as those adopted for M3 because the value of its IVIVC regression coefficient is the closest to 1 as compared to M1 and M2.

关键词： nimesulide modelling HPMC Wagner-Nelson method

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Tunable beam deflection based on plasmonic resonators mounted freestanding thermoresponsive hydrogel

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Chinese Optics Letters 2020年第6期18卷 67-70页

作者： Ata Ur Rahman Khalid Juan Liu naeem Ullah Shiqi Jia Beijing Engineering Research Center for Mixed Reality and Advanced Display School of Optics and PhotonicsBeijing Institute of TechnologyBeijing 100081China

We propose and numerically demonstrate a dynamic beam deflector based on plasmonic resonator loaded thermoresponsive freestanding hydrogel that swells and collapses in water by *** this purpose,we utilize four-step phase gradients mounted on freestanding hydrated *** normal incidence,linearly orthogonal light deflects to 19.44°in the collapsed state and 14.40°in the swollen state of ***,the light deflects at a third angle of 12.29°when the solvent changes from water to *** is expected that our metadesign will provide a platform for dynamic holography,active lensing,data storage,and anticounterfeiting.

关键词： tuning beam deflector hydrogel

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A Lightweight Deep Learning-Based Model for Tomato Leaf Disease Classification

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Computers, Materials & Continua 2023年第12期77卷 3969-3992页

作者： naeem Ullah Javed Ali Khan Sultan Almakdi Mohammed S.Alshehri Mimonah Al Qathrady Eman Abdullah Aldakheel Doaa Sami Khafaga Department of Software Engineering University of Engineering and TechnologyTaxila4400Pakistan Department of Computer Science Faculty of PhysicsEngineeringand Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK Department of Computer Science College of Computer Science and Information SystemNajran UniversityNajran55461Saudi Arabia Departments of Information Systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Tomato leaf diseases significantly impact crop production,necessitating early detection for sustainable *** Learning(DL)has recently shown excellent results in identifying and classifying tomato leaf ***,current DL methods often require substantial computational resources,hindering their application on resource-constrained *** propose the Deep Tomato Detection Network(DTomatoDNet),a lightweight DL-based framework comprising 19 learnable layers for efficient tomato leaf disease classification to overcome *** Convn kernels used in the proposed(DTomatoDNet)framework is 1×1,which reduces the number of parameters and helps in more detailed and descriptive feature extraction for *** proposed DTomatoDNet model is trained from scratch to determine the classification success rate.10,000 tomato leaf images(1000 images per class)from the publicly accessible dataset,covering one healthy category and nine disease categories,are utilized in training the proposed DTomatoDNet *** specifically,we classified tomato leaf images into Target Spot(TS),Early Blight(EB),Late Blight(LB),Bacterial Spot(BS),Leaf Mold(LM),Tomato Yellow Leaf Curl Virus(YLCV),Septoria Leaf Spot(SLS),Spider Mites(SM),Tomato Mosaic Virus(MV),and Tomato Healthy(H).The proposed DTomatoDNet approach obtains a classification accuracy of 99.34%,demonstrating excellent accuracy in differentiating between tomato *** model could be used on mobile platforms because it is lightweight and designed with fewer *** farmers can utilize the proposed DTomatoDNet methodology to detect disease more quickly and easily once it has been integrated into mobile platforms by developing a mobile application.

关键词： CNN deep learning DTomatoDNet tomato leaf disease classification smart agriculture

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