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Frontiers of Environmental Science & Engineering 2020年第6期14卷 75-85页

作者： Mona Akbar muhammad Farooq Saleem khan Ling Qian Hui Wang State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China Sino-Japan Friendship Center for Environmental Protection Beijing 100029China

Polyacrylamide(PAM)is generally employed in wastewater treatment processes such as sludge dewatering and therefore exists in the ***,it degrades slowly and can deteriorate methane yield during anaerobic digestion(AD).The impact or fate of PAM in AD under thermophilic conditions is still *** study mainly focuses on PAM degradation and enhanced methane production from PAM-added sludge during 15 days of thermophilic(55°C)AD compared to mesophilic(35°C)*** and PAM dose from 10 to 50 g/kg TSS were *** results showed that PAM degraded by 76%to 78%with acrylamide(AM)content of 0.2 to 3.3 mg/L in thermophilic ***,it degraded only 21%to 30%with AM content of 0.5 to 7.2 mg/L in mesophilic *** methane yield was almost 230 to 238.4 mL/g VSS on the 8th day in thermophilic AD but was 115.2 to 128.6 mL/g VSS in mesophilic *** investigation revealed that thermophilic AD with continuous stirring not only enhanced PAM degradation but also boosted the organics release from the sludge with added PAM and gave higher methane yield than mesophilic AD.

关键词： Polyacrylamide(PAM)degradation Acrylamide(AM) Mesophilic anaerobic digestion Thermophilic anaerobic digestion Methane production

Classification of Retroviruses Based on Genomic Data Using RVGC

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Computers, Materials & Continua 2021年第12期69卷 3829-3844页

作者： Khalid Mahmood Aamir muhammad Bilal muhammad Ramzan muhammad Attique khan Yunyoung Nam Seifedine Kadry Department of CS&IT University of SargodhaSargodha40100Pakistan Department of CS&IT University of MianwaliMianwali42200Pakistan School of Systems and Technology University of Management and TechnologyLahore54782Pakistan Department of Computer Science HITEC University TaxilaTaxilaPakistan Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea Faculty of Applied Computing and Technology Noroff University CollegeKristiansandNorway

Retroviruses are a large group of infectious agents with similar virion structures and replication ***,cancer,neurologic disorders,and other clinical conditions can all be fatal due to retrovirus *** of retroviruses by genome sequence is a biological problem that benefits from computational *** National Center for Biotechnology Information(NCBI)promotes science and health by making biomedical and genomic data available to the *** research aims to classify the different types of rotavirus genome sequences available at the ***,nucleotide pattern occurrences are counted in the given genome sequences at the preprocessing *** on some significant results,the number of features used for classification is reduced to *** classification shall be carried out in two *** first phase of classification shall select only two *** data in the first phase is transferred to the next phase,where the final decision is taken with the remaining three *** data sets of animals and human retroviruses are selected;the training data set is used to minimize the classifier’s number and training;the validation data set is used to validate the *** performance of the classifier is analyzed using the test data ***,we use decision tree,naive Bayes,knearest neighbors,and vector support machines to compare *** results show that the proposed approach performs better than the existing methods for the retrovirus’s imbalanced genome-sequence dataset.

关键词： Retroviruses machine learning bioinformatics classification

Energy Cost Minimization Using String Matching Algorithm in Geo-Distributed Data Centers

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Computers, Materials & Continua 2023年第6期75卷 6305-6322页

作者： muhammad Imran khan Khalil Syed Adeel Ali Shah Izaz Ahmad khan Mohammad Hijji muhammad Shiraz Qaisar Shaheen Department of Computer Science&Information Technology University of Engineering&TechnologyPeshawar25000Pakistan Department of Computer Science Bacha Khan UniversityCharsadda24541Pakistan Computer Science Department University of TabukTabuk47512Saudi Arabia Department of Computer Science Federal Urdu University of ArtsScience and Technology Islamabad44000Pakistan Department of Computer Science and Information Technology The Islamia University of BahawalpurRahim Yar Khan CampusPunjabPakistan

Data centers are being distributed worldwide by cloud service providers(CSPs)to save energy costs through efficient workload alloca-tion *** CSPs are challenged by the significant rise in user demands due to their extensive energy consumption during workload *** research studies have examined distinct operating cost mitigation techniques for geo-distributed data centers(DCs).However,oper-ating cost savings during workload processing,which also considers string-matching techniques in geo-distributed DCs,remains *** this research,we propose a novel string matching-based geographical load balanc-ing(SMGLB)technique to mitigate the operating cost of the geo-distributed *** primary goal of this study is to use a string-matching algorithm(i.e.,Boyer Moore)to compare the contents of incoming workloads to those of documents that have already been processed in a data center.A successful match prevents the global load balancer from sending the user’s request to a data center for processing and displaying the results of the previously processed workload to the user to save *** the contrary,if no match can be discovered,the global load balancer will allocate the incoming workload to a specific DC for processing considering variable energy prices,the number of active servers,on-site green energy,and traces of incoming *** results of numerical evaluations show that the SMGLB can minimize the operating expenses of the geo-distributed data centers more than the existing workload distribution techniques.

关键词： String matching optimization geo-distributed data centers geographical load balancing green energy

Significance of activation energy and Wu's slip features in Cross nanofluid with motile microorganisms

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Communications in Theoretical Physics 2020年第10期72卷 1-11页

作者： Sami Ullah khan Hassan Waqas Taseer muhammad muhammad Imran Malik Zaka Ullah Department of Mathematics COMSATS University IslamabadSahiwal 57000Pakistan Department of Mathematics Government College UniversityFaisalabad 38000Pakistan Department of Mathematics College of SciencesKing Khalid UniversityAbha 61413Saudi Arabia Department of Mathematics Faculty of ScienceKing Abdulaziz UniversityJeddah 21589Saudi Arabia

The current article investigates the impact of the bioconvection in an unsteady flow of magnetized Cross nanofluid with gyrotactic microorganisms and activation energy over a linearly stretched *** analysis has been performed by utilizing the realistic Wu's slip boundary and zero mass flux *** effects of nonlinear thermal radiation and the activation energy are also *** governing flow equations are deduced to a dimensionless form by considering suitable transformations which are numerically targeted via a shooting *** physical visualization of each physical parameter governing the flow problem has been displayed graphically for distribution of velocity,temperature,concentration and motile *** numerical treatment for the variation of skin friction coefficient,local Nusselt number,local Sherwood number and motile density number is performed in tabular forms.

关键词： Cross nanofluid nonlinear thermal radiation gyrotactic motile microorganism Wu's slip shooting technique

Investigation of E-H mode transition in magnetic-pole-enhanced inductively coupled neon-argon mixture plasma

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Plasma Science and Technology 2020年第6期22卷 110-119页

作者： Zahid Iqbal KHATTAK Abdul Waheed khan Faiq JAN muhammad SHAFIQ Department of Physics Quaid-i-Azam University45320 IslamabadPakistan Department of Physics Gomal University29050 D.I.KhanPakistan Department of Physics Govt.Post Graduate College Nowshera24100 NowsheraPakistan 不详

In this paper,E-H mode transition in magnetic-pole-enhanced inductively coupled neon-argon mixture plasma is investigated in terms of fundamental plasma parameters as a function of argon fraction(0%-100%),operating pressure(1 Pa,5 Pa,10 Pa and 50 Pa),and radio frequency(RF)power(5-100 W).An RF compensated Langmuir probe and optical emission spectroscopy are used for the diagnostics of the plasma under *** to the lower ionization potential and higher collision cross-section of argon,when its fraction in the discharge is increased,the mode transition occurs at lower RF power;*** 0%argon and1 Pa pressure,the threshold power of the E-H mode transition is 65 W,which reduces to 20 W when the argon fraction is *** electron density increases with the argon fraction at afixed pressure,whereas the temperature decreases with the argon *** relaxation length of the low-energy electrons increases,and decreases for high-energy electrons with argon fraction,due to the Ramseur ***,the relaxation length of both groups of electrons decreases with pressure due to reduction in the mean free *** electron energy probability function(EEPF)profiles are non-Maxwellian in E-mode,attributable to the nonlocal electron kinetics in this mode;however,they evolve to Maxwellian distribution when the discharge transforms to H-mode due to lower electron temperature and higher electron density in *** tail of the measured EEPFs is found to deplete in both E-and H-modes when the argon fraction in the discharge is increased,because argon has a much lower excitation potential(11.5 eV)than neon(16.6 eV).

关键词： Ne-Ar MaPE-ICP Langmuir probe OES electron temperature electron density mode transition

Rice molecular markers and genetic mapping:Current status and prospects

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Journal of Integrative Agriculture 2017年第9期16卷 1879-1891页

作者： Ghulam Shabir Kashif Aslam Abdul Rehman khan muhammad Shahid Hamid Manzoor Sibgha Noreen Mueen Alam khan muhammad Baber muhammad Sabar Shahid Masood Shah muhammad Arif National Institute for Biotechnology and Genetic Engineering(NIBGE) Faisalabad 38000Pakistan Biotechnology Program Environmental SciencesCOMSA TS Institute of Information TechnologyAbbottabad 22010Pakistan Institute of Molecular Biology and Biotechnology Bahauddin Zakariya UniversityMultan 60000Pakistan Rice Research Institute Kala Shah Kaku 39020Pakistan Department of Bioinformatics and Biotechnology Government College UniversityFaisalabad 38000Pakistan Institute of Pure and Applied Biology Bahauddin Zakariya UniversityMultan 60000Pakistan Department of Plant Breeding and Genetics The Islamia University of BahawalpurBahawalpur 63100Pakistan National Center for Soybean Improvement Nanjing Agricultural UniversityNanjing 210095P.R.China

Dramatic changes in climatic conditions that supplement the biotic and abiotic stresses pose severe threat to the sustainable rice production and have made it a difficult task for rice molecular breeders to enhance production and productivity under these stress factors. The main focus of rice molecular breeders is to understand the fundamentals of molecular pathways involved in complex agronomic traits to increase the yield. The availability of complete rice genome sequence and recent improvements in rice genomics research has made it possible to detect and map accurately a large number of genes by using linkage to DNA markers. Linkage mapping is an effective approach to identify the genetic markers which are co-segregating with target traits within the family. The ideas of genetic diversity, quantitative trait locus（QTL） mapping, and marker-assisted selection（MAS） are evolving into more efficient concepts of linkage disequilibrium（LD） also called association mapping and genomic selection（GS）, respectively. The use of cost-effective DNA markers derived from the fine mapped position of the genes for important agronomic traits will provide opportunities for breeders to develop high-yielding, stress-resistant, and better quality rice cultivars. Here we focus on the progress of molecular marker technologies, their application in genetic mapping and evolution of association mapping techniques in rice.

关键词： genetic mapping molecular markers maker assisted selection Oryza sativa L quantitative trait loci

Mathematical modeling approach to the transmission dynamics of pine wilt disease with saturated incidence rate

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International Journal of Biomathematics 2018年第3期11卷 77-96页

作者： muhammad Altaf khan Kamil Shaht Yasir khan Saeed Islam Department of Mathematics City University of Science and Information Technology Peshawar Khyber Pakhtunkhwa 25000 Pakistan Department of Mathematics University of Haft A1 Batin Hafr Al Batin 31991 Saudi Arabia Department of Mathematics Abdul Wall khan University Mardan Khyber Pakhtunkhwa 23200 Pakistan

The present paper investigates the dynamics of pine wilt disease with saturated incidence rate. The proposed model is stable both locally and globally. The local stability of the disease-free equilibrium is determined by the basic reproduction R0. The disease-free equilibrium is stable locally and globally whenever R0〈 1. If R0 〉 1, then the endemic state is stable both locally and globally. Further, a brief discussion with conclusion on the numerical results of the proposed model is presented.

关键词： SEIVRS mathematical model pine wilt disease stability analysis numerical simulation.

TC-Net:A Modest&Lightweight Emotion Recognition System Using Temporal Convolution Network

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Computer Systems Science & Engineering 2023年第9期46卷 3355-3369页

作者： muhammad Ishaq Mustaqeem khan Soonil Kwon Sejong University Software Convergence Department Seoul05006Korea Mohamed Bin Zayed University of Artificial Intelligence(MBZUAI) Abu Dhabi3838-111188United Arab Emirates

Speech signals play an essential role in communication and provide an efficient way to exchange information between humans and *** Emotion Recognition(SER)is one of the critical sources for human evaluation,which is applicable in many real-world applications such as healthcare,call centers,robotics,safety,and virtual *** work developed a novel TCN-based emotion recognition system using speech signals through a spatial-temporal convolution network to recognize the speaker’s emotional *** authors designed a Temporal Convolutional Network(TCN)core block to recognize long-term dependencies in speech signals and then feed these temporal cues to a dense network to fuse the spatial features and recognize global information for final *** proposed network extracts valid sequential cues automatically from speech signals,which performed better than state-of-the-art(SOTA)and traditional machine learning *** of the proposed method show a high recognition rate compared with *** final unweighted accuracy of 80.84%,and 92.31%,for interactive emotional dyadic motion captures(IEMOCAP)and berlin emotional dataset(EMO-DB),indicate the robustness and efficiency of the designed model.

关键词： Affective computing deep learning emotion recognition speech signal temporal convolutional network

Hydrometallurgical leaching and kinetic modeling of low-grade manganese ore with banana peel in sulfuric acid

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International Journal of Minerals,Metallurgy and Materials 2021年第2期28卷 193-200页

作者： Sajjad Ali Yaseen Iqbal Inamullah khan Ansar Ullah muhammad Sadiq muhammad Fahad Khizar Hussain Shah Materials Research Laboratory Department of PhysicsUniversity of Peshawar25120 PeshawarPakistan Department of Electrical and Computer Engineering COMSATS University IslamabadAbbottabad CampusUniversity Road 22060 AbbottabadPakistan Department of Chemistry COMSATS University IslamabadAbbottabad CampusUniversity Road 22060 AbbottabadPakistan

Manganese was leached from a low-grade manganese ore(LGMO)using banana peel as the reductant in a dilute sulfuric acid *** effects of banana peel amount,H2SO4 concentration,reaction temperature,and time on Mn leaching from the complex LGMO were studied.A leaching efficiency of~98%was achieved at a leaching time of 2 h,banana peel amount of 4 g,leaching temperature of 120°C,manganese ore amount of 5 g,and sulfuric acid concentration of 15vol%.The phase,microstructural,and chemical analyses of LGMO samples before and after the leaching process confirmed the successful leaching of ***,the leaching process followed the shrinking core model and the leaching rate was controlled by a surface chemical reaction(1−(1−x)^1/3=kt)mechanism with an apparent activation energy of 40.19 kJ·mol^−1.

关键词： low-grade manganese ore glucose leaching kinetics activation energy

Global stability and vaccination of an SEIVR epidemic model with saturated incidence rate

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International Journal of Biomathematics 2016年第5期9卷 59-83页

作者： muhammad Altaf khan Yasir khan Sehra khant Saeed Islam Department of Mathematics Abdul Wall khan University Mardan Khyber Pakhtunkhwa 23200 Pakistan Department of Mathematics University of Haft Al-Batin Hafr Al-Batin 31991 Saudi Arabia Department of Mathematics Abdul Wali khan University Mardan Khyber Pakhtunkhwa 23200 Pakistan

This study considers SEIVR epidemic model with generalized nonlinear saturated inci- dence rate in the host population horizontally to estimate local and global equilibriums. By using the Rout^Hurwitz criteria, it is shown that if the basic reproduction number R0 〈 1, the disease-free equilibrium is locally asymptotically stable. When the basic reproduction number exceeds the unity, then the endemic equilibrium exists and is stable locally asymptotically. The system is globally asymptotically stable about the disease-free equilibrium if R0 〈 1. The geometric approach is used to present the global stability of the endemic equilibrium. For R0〉 1, the endemic equilibrium is stable globally asymptotically. Finally, the numerical results are presented to justify the mathematical results.

关键词： Epidemic model reproduction number vaccination global stability Routh- Hurwitz criteria numerical solution.