检索结果-南通市图书馆

Rabi oscillation generation in the microring resonator system with double-series ring resonators

在线全文

学校读者我要写书评

暂无评论

Optoelectronics Letters 2015年第5期11卷 342-347页

作者： Ahmad Fakhrurrazi Ahmad Noorden kashif Chaudhary Mahdi Bahadoran muhammad Safwan Aziz muhammad Arif Jalil Ong Chee Tiong Jalil Ali Preecha Yupapin Institute of Advance Photonics Science Nanotechnology Research AllianceUniversiti Teknologi Malaysia Department of Mathematics Universiti Teknologi Malaysia Advanced Studies Center Faculty of ScienceKing Mongkut's Institute of Technology Ladkrabang

In this paper, a microring resonator(MRR) system using double-series ring resonators is proposed to generate and investigate the Rabi oscillations. The system is made up of silicon-on-insulator and attached to bus waveguide which is used as propagation and oscillation medium. The scattering matrix method is employed to determine the output signal intensity which acts as the input source between two-level Rabi oscillation states, where the increase of Rabi oscillation frequency with time is obtained at the resonant state. The population probability of the excited state is higher and unstable at the optical resonant state due to the nonlinear spontaneous emission process. The enhanced spontaneous emission can be managed by the atom(photon) excitation, which can be useful for atomic related sensors and single-photon source applications.

关键词： resonator oscillation resonant waveguide unstable excited spontaneous insulator attached Hamiltonian

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

在线全文

学校读者我要写书评

暂无评论

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

Depositional Environment and Lithofacies Analyses of Eocene Lacustrine Shale in the Bohai Bay Basin:Insights from Mineralogy and Elemental Geochemistry

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Acta Geologica Sinica(English Edition) 2023年第2期97卷 589-609页

作者： Danish KHAN LIANG Chao QIU Longwei Kamran MIRZA WANG Yelei muhammad kashif Saif Ur REHMAN WANG Yuzhe TENG Jianbin State Key Laboratory of Ore Deposit Geochemistry Institute of GeochemistryChinese Academy of SciencesGuiyang 550081China School of Geosciences China University of PetroleumQingdaoShandong 266580China Institute of Geology University of the PunjabLahore 54590Pakistan Department of Earth Sciences University of SargodhaSargodha 40100Pakistan Shengli Oil Field DongyingShandong 257015China

The effect of various depositional parameters including paleoclimate,paleosalinity and provenance,on the depositional mechanism of lacustrine shale is very important in reconstructing the depositional *** classification of shale lithofacies and the interpretation of shale depositional environment are key features used in shale oil and gas exploration and development *** lower 3rd member of the Eocene Shahejie Formation(Es_(3)^(x)shale)was selected for this study,as one of the main prospective intervals for shale oil exploration and development in the intracratonic Bohai Bay ***,it is composed of quartz(avg.9.6%),calcite(avg.58.5%),dolomite(avg.7%),pyrite(avg.3.3%)and clay minerals(avg.20%).An advanced methodology(thin-section petrography,total organic carbon and total organic sulfur contents analysis,X-ray diffraction(XRD),X-ray fluorescence(XRF),field-emission scanning electron microscopy(FE-SEM))was adopted to establish shale lithofacies and to interpret the depositional environment in the lacustrine *** different types of lithofacies were recognized,based on mineral composition,total organic carbon(TOC)content and sedimentary *** inorganic geochemical proxies(Rb/Sr,Ca/(Ca+Fe),Ti/Al,Al/Ca,Al/Ti,Zr/Rb)have been used to interpret and screen variations in depositional environmental parameters during the deposition of the Es_(3)^(x)*** experimental results indicate that the environment during the deposition of the Es_(3)^(x)shale was warm and humid with heightened salinities,moderate to limited detrital input,higher paleohydrodynamic settings and strong oxygen deficient(reducing)conditions.A comprehensive depositional model of the lacustrine shale was *** interpretations deduced from this research work are expected to not only expand the knowledge of shale lithofacies classification for lacustrine fine-grained rocks,but can also offer a theoretical foundation for lacustrine shale oil explorati

关键词： shale lithofacies shale mineralogy elemental geochemistry depositional environment Shahejie Formation Bohai Bay Basin

An Efficient Connectivity Restoration Technique(ECRT)for Wireless Sensor Network

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第10期69卷 1003-1019页

作者： Mahmood ul Hassan Shahzad Ali Khalid Mahmood muhammad kashif Saeed Amin Al-Awady Kamran Javed Ansar Munir Shah Department of Computer Skills Preparatory yearNajran UniversityNajran66241Saudi Arabia Department of Computer Science Jouf UniversityTubarjal74769Saudi Arabia Department of Information Systems College of Science and ArtsKing Khalid UniversityMahayil Asir63317Saudi Arabia Department of Computer Science Community College Mahayil AsirKing Khalid UniversityMahayil63718Saudi Arabia Department of Computer Engineering National University of Technology(NUTECH)Islamabad44000Pakistan Department of Computer Science Institute of Southern PunjabMultan60000Pakistan

Node failure in Wireless Sensor Networks(WSNs)is a fundamental problem because WSNs operate in hostile *** failure of nodes leads to network partitioning that may compromise the basic operation of the sensor *** deal with such situations,a rapid recovery mechanism is required for restoring inter-node *** to the immense importance and need for a recovery mechanism,several different approaches are proposed in the ***,the proposed approaches have shortcomings because they do not focus on energy-efficient operation and coverage-aware mechanisms while performing connectivity ***,most of these approaches rely on the excessive mobility of nodes for restoration connectivity that affects both coverage and energy *** paper proposes a novel technique called ECRT(Efficient Connectivity Restoration Technique).This technique is capable of restoring connectivity due to single and multiple node *** achieves energy efficiency by transmitting a minimal number of control *** is also coverage-aware as it relocates minimal nodes while trying to restore *** the help of extensive simulations,it is proven that ECRT is effective in connectivity restoration for single and multiple node *** also show that ECRT exchanges a much smaller number of packets than other ***,it also yields the least reduction in field coverage,proving its versatility for connectivity restoration.

关键词： Cut-vertex failure recovery network connectivity node relocation wireless sensor network node failures

Computational and experimental investigations of a microfluidic mixer for efficient iodine extraction using carbon tetrachloride enhanced with gas bubbles

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Physics B 2023年第11期32卷 518-526页

作者： Siddique muhammad kashif 孙林李松晶 Department of Fluid Control and Automation School of Mechatronics EngineeringHarbin Institute of TechnologyHarbin 150001China

Numerous studies have been conducted on microfluidic mixers in various microanalysis systems, which elucidated the manipulation and control of small fluid volumes within microfluidic chips. These studies have demonstrated the ability to control fluids and samples precisely at the microscale. Microfluidic mixers provide high sensitivity for biochemical analysis due to their small volumes and high surface-to-volume ratios. A promising approach in drug delivery is the rapid microfluidic mixer-based extraction of elemental iodine at the micro level, demonstrating the versatility and the potential to enhance diagnostic imaging and accuracy in targeted drug delivery. Micro-mixing inside microfluidic chips plays a key role in biochemical analysis. The experimental study describes a microfluidic mixer for extraction of elemental iodine using carbon tetrachloride with a gas bubble mixing process. Gas bubbles are generated inside the microcavity to create turbulence and micro-vortices resulting in uniform mixing of samples. The bubble mixing of biochemical samples is analyzed at various pressure levels to validate the simulated results in computational fluid dynamics(CFD). The experimental setup includes a high-resolution camera and an air pump to observe the mixing process and volume at different pressure levels with time. The bubble formation is controlled by adjusting the inert gas flow inside the microfluidic chip. Microfluidic chip-based gas bubble mixing effects have been elaborated at various supplied pressures.

关键词： microfluidic mixer iodine extraction CFD simulation micro-mixing properties

Origin of Quartz Cement in the Paleogene Sandstone Reservoir of Shahejie Formation,Bohai Bay Basin,China

在线全文

学校读者我要写书评

暂无评论

Acta Geologica Sinica(English Edition) 2022年第1期96卷 248-260页

作者： muhammad kashif CAO Yingchang Nizam Ud DIN Uzair SIDDIQUE XI Kelai Faisal REHMAN Noor AHMED GU Xihao Mohammad Saleh GAGHMAN Department of Earth sciences University of SargodhaSargodha 40100Pakistan School of Geosciences China University of PetroleumQingdaoShandong 266580China College of Earth sciences and Engineering Hohai UniversityNanjing 210098China Institute of Marine Geology and Resources Ocean CollegeZhejiang UniversityZhoushanZhejiang 316021China Department of Earth sciences Quaid-I-Azam UniversityIslamabad 45320Pakistan

The precipitation of authigenic quartz plays a significant role to reduce the reservoir characteristics and enhance the stiffness of the *** Es_(1) sandstone of Shahejie Formation is acting as a significant hydrocarbon producing rock in the Nanpu *** methods like thin section petrography,cathodoluminescence(CL),scanning electron microscope(SEM,with EDS),and electron microprobe analysis has been used to reveal the origin of quartz cement as well as to evaluate the effect of quartz cement on reservoir *** studied sandstone is classified as immature to mature feldspathic litharenite and lithic arkose and consists of quartz,feldspar,rock fragments and *** studies and SEM analysis shows that the authigenic quartz is acting a significant cement that reduces the reservoir *** clay minerals(kaolinite and mixed layer illite to smectite)are dominant in the Es_(1) sandstone,that can reduce the reservoir ***,CL and thin section analysis reveal that there are two stages of quartz cement in the studied samples;that are pore filling authigenic cement and quartz overgrowth *** inclusion homogenization temperatures shows that stages of quartz cement were developed with continuous process from 70℃ to 130℃.Quartz cements were generally originated from I/S reaction,feldspar dissolution,conversion of rock fragments and pressure *** dissolution(K-feldspar)and kaolinite to illite reaction is an insignificant silica source for the silica cement which is internally precipitated in a close system with diffusion transporting ***,quartz cement significantly enhance the rock strengthen and brittleness effectively as well as it reduce the overall reservoir quality.

关键词： origin authigenic quartz silica sources diffusion Shahejie Formation

First report on molecular characterization of Leishmania species from cutaneous leishmaniasis patients in southern Khyber Pakhtunkhwa province of Pakistan

在线全文

学校读者我要写书评

暂无评论

Asian Pacific Journal of Tropical Medicine 2017年第7期10卷 785-788页

作者： Mubbashir Hussain Shahzad Munir Sultan Ayaz Bahar Ullah Khattak Taj Ali Khan Niaz muhammad muhammad Anees Hazir Rahman muhammad Qasim muhammad Ameen Jamal Irfan Ahmed kashif Rahim Humaira Mazhar Noha Watanay Mohamed Kasbari Vector Borne Diseases Laboratory Department of MicrobiologyKohat University of Science and Technology Kohat Department of Plant Pathology Faculty of Plant ProtectionYunnan Agricultural University College of Animal Husbandry and Veterinary Sciences Abdul Wali Khan University Mardan College of Animal Science and Technology Yunnan Agricultural University Yunnan Provincial Key Laboratory of Animal Nutrition and Feed Yunnan Agricultural University Beijing Key Laboratory of Genetic Engineering Drug and Biotechnology Institute of Biochemistry and BiotechnologyCollege of Life SciencesBeijing Normal University US Naval Medical Research Unit-3 (NAMRU 3) ANSES Animal Health Laboratory

Objective: To report presence of Leishmania major in Khyber Pakhtunkhwa of Pakistan, where cutaneous leishmaniasis(CL) is endemic and was thought to be caused by Leishmania tropica only. Methods: Biopsy samples from 432 CL suspected patients were collected from 3 southern districts of Khyber Pakhtunkhwa during years 2011–2016. Microscopy on Giemsa stained slides were done followed by amplification of the ribosomal internal transcribed spacer 1 gene. Results: Leishmania amastigotes were detected by microscopy in 308 of 432 samples(71.3%) while 374 out of 432 samples(86.6%) were positive by ribosomal internal transcribed spacer 1 PCR. Subsequent restriction fragment length polymorphism confirmed Leishmania tropica in 351 and Leishmania major in 6 biopsy samples. Conclusions: This study is the first molecular characterization of Leishmania species in southern Khyber Pakhtunkhwa. It confirmed the previous assumptions that anthroponotic CL is the major CL form present in Khyber Pakhtunkhwa province. Furthermore, this is the first report of Leishmania major from a classical anthroponotic CL endemic focus identified in rural areas of Kohat district in southern Khyber Pakhtunkhwa.

关键词： Cutaneous leishmaniasis ITS-PCR RFLP Leishmania tropica Khyber Pakhtunkhwa

Week Ahead Electricity Power and Price Forecasting Using Improved DenseNet-121 Method

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第9期72卷 4249-4265页

作者： muhammad Irfan Ali Raza Faisal Althobiani Nasir Ayub muhammad Idrees Zain Ali kashif Rizwan Abdullah Saeed Alwadie Saleh Mohammed Ghonaim Hesham Abdushkour Saifur Rahman Omar Alshorman Samar Alqhtani Electrical Engineering Department College of EngineeringNajran University Saudi ArabiaNajran61441Saudi Arabia Department of Computer Science COMSATS University IslamabadWah Campus22060Pakistan Faculty of Maritime Studies King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Federal Urdu University of ArtsScience and TechnologyIslamabad44000Pakistan School of Electrical Engineering and Computer Science National University of Science and TechnologyIslamabad44000Pakistan Department of Computer Science and Engineering University of Engineering and TechnologyNarowal CampusLahore54000Pakistan Department of Electrical Engineering HITEC UniversityTaxila47080Pakistan College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia

In the Smart Grid(SG)residential environment,consumers change their power consumption routine according to the price and incentives announced by the utility,which causes the prices to deviate from the initial ***,electricity demand and price forecasting play a significant role and can help in terms of reliability and *** to the massive amount of data,big data analytics for forecasting becomes a hot topic in the SG *** this paper,the changing and non-linearity of consumer consumption pattern complex data is taken as *** minimize the computational cost and complexity of the data,the average of the feature engineering approaches includes:Recursive Feature Eliminator(RFE),Extreme Gradient Boosting(XGboost),Random Forest(RF),and are upgraded to extract the most relevant and significant *** this end,we have proposed the DensetNet-121 network and Support Vector Machine(SVM)ensemble with Aquila Optimizer(AO)to ensure adaptability and handle the complexity of data in the ***,the AO method helps to tune the parameters of DensNet(121 layers)and SVM,which achieves less training loss,computational time,minimized overfitting problems and more training/test *** evaluation metrics and statistical analysis validate the proposed model results are better than the benchmark *** proposed method has achieved a minimal value of the Mean Average Percentage Error(MAPE)rate i.e.,8%by DenseNet-AO and 6%by SVM-AO and the maximum accurateness rate of 92%and 95%,respectively.

关键词： Smart grid deep neural networks consumer demand big data analytics load forecasting price forecasting

3D Head Pose Estimation through Facial Features and Deep Convolutional Neural Networks

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第2期66卷 1757-1770页

作者： Khalil Khan Jehad Ali kashif Ahmad Asma Gul Ghulam Sarwar Sahib Khan Qui Thanh Hoai Ta Tae-Sun Chung muhammad Attique Department of Computer Science and Software Engineering Pak-Austria Fachhochschule:Institute of Applied Sciences and TechnologyHaripur-KPKPakistan Department of Computer Engineering and Department of AI Convergence Network Ajou UniversitySuwon16499South Korea Hamad Bin Khalifa University DohaQatar Department of Statistics Shaheed Benazir Bhutto Women UniversityPeshawarPakistan Department of Software Engineering University of Azad Jammu and KashmirPakistan Department of Electronics and Telecommunications Politecnico di TorinoTorino10129Italy Institute of Research and Development Duy Tan UniversityDanang550000Vietnam Department of Computer Engineering Ajou UniversitySuwon16499Korea Department of Software Sejong UniversitySeoul05006South Korea

Face image analysis is one among several important cues in computer *** the last five decades,methods for face analysis have received immense attention due to large scale applications in various face analysis *** parsing strongly benefits various human face image analysis tasks inducing face pose *** this paper we propose a 3D head pose estimation framework developed through a prior end to end deep face parsing *** have developed an end to end face parts segmentation framework through deep convolutional neural networks(DCNNs).For training a deep face parts parsing model,we label face images for seven different classes,including eyes,brows,nose,hair,mouth,skin,and *** extract features from gray scale images by using *** train a classifier using the extracted *** use the probabilistic classification method to produce gray scale images in the form of probability maps for each dense semantic *** use a next stage of DCNNs and extract features from grayscale images created as probability maps during the segmentation *** assess the performance of our newly proposed model on four standard head pose datasets,including Pointing’04,Annotated Facial Landmarks in the Wild(AFLW),Boston University(BU),and ICT-3DHP,obtaining superior results as compared to previous results.

关键词： Face image analysis face parsing face pose estimation