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Unfolding the structural features of NASICON materials for sodium-ion full cells

Carbon Energy 2022年第5期4卷 776-819页

作者： muhammad Tayyab ahsan Zeeshan Ali muhammad Usman Yanglong Hou School of Materials Science and Engineering Peking UniversityBeijingChina School of Chemical and Materials Engineering National University of Sciences and Technology(NUST)IslamabadPakistan Beijing Key Laboratory for Magnetoelectric Materials and Devices(BKL-MMD) School of Materials Science and EngineeringPeking UniversityBeijingChina

Sodium-ion batteries(SIBs)are potential candidates for the replacement of lithium-ion batteries to meet the increasing demands of electrical storage systems due to the low cost and high abundance of *** superionic conductor(NASICON)structured materials have attracted enormous interest in recent years as electrode materials for safer and long-term performance of SIBs for electric energy storage smart *** materials have a threedimensional robust framework,high redox potential,thermal stability,and a fast Na^(+)-ion diffusion ***,NASICON has low intrinsic electronic conductivity,which limits the electrochemical *** review describes the structural features of NASICONs to illustrate the ion storage mechanism and electrochemical performance of *** of the NASICON crystal structure,the affiliated Na^(+)-ion diffusion mechanism,morphology,and electrochemical performance of these materials in sodiumion half-cells as well as full cells are *** addition to the application as electrode materials,the use of NASICONs as solid electrolytes is also elaborated in solid-state *** on these aspects,we have provided more perspectives in terms of the commercialization of SIBs and strategies to overcome the limitations of ***,this review is expected to provide the researchers of energy storage with an in-depth understanding of NASICON materials with the knowledge of structural features,which will provide a new avenue on the practicality of SIBs.

关键词： cathode materials electrical storage systems full cells NASICON materials sodium-ion batteries

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A Novel LSB Steganography Technique for Enhancing Cloud Security

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Journal of Information Security 2024年第3期15卷 355-377页

作者： ahsan Ullah Md. Inzamul Haque Md. Mokarom Hossain Md. Sadman Ahammad Mst. Nishita Aktar Department of Computer Science and Engineering World University of Bangladesh Dhaka Bangladesh

Steganography is a technique that is frequently used to hide hidden information in multimedia artifacts including music, video, and images. In order to protect data saved in the cloud, this paper presents a steganography method for encrypting sound utilizing LSB-based computation. By using the least significant bit (LSB) of a byte to represent a message and then substituting each LSB bit with a binary message and encrypting a significant quantity of data. The proposed system uses the LSB technique of picture steganography, Multi-Level Encryption Algorithm (MLEA) and Two-Level Encryption Algorithm (TLEA) data encryption to give the highest level of cloud security. Compared to other current schemes, the performance of the suggested method is 1.732125% better on average.

关键词： Steganography LSB Cloud Computing Security Cryptography TLEA MLEA

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Application and comparison of kernel functions for linear parameter varying model approximation of nonlinear systems

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Applied Mathematics(A Journal of Chinese Universities) 2023年第1期38卷 58-77页

作者： Faisal Saleem ahsan Ali Inam-ul-hassan Shaikh muhammad Wasim Department of Measurements and Control Systems Silesian University of TechnologyGliwicePoland Department of Electrical Engineering University of Engineering and TechnologyTaxilaPakistan Department of Aeronautics and Astronautics Engineering Institute of Space TechnologyIslamabadPakistan

In this paper,a comparative study for kernel-PCA based linear parameter varying(LPV)model approximation of sufficiently nonlinear and reasonably practical systems is carried *** matrix inequalities(LMIs)to be solved in LPV controller design process increase exponentially with the increase in a number of scheduling *** kernel functions are used to obtain the approximate LPV model of highly coupled nonlinear *** error to norm ratio of original and approximate LPV models is introduced as a measure of accuracy of the approximate LPV *** examples conclude the effectiveness of kernel-PCA for LPV model approximation as with the identification of accurate approximate LPV model,computation complexity involved in LPV controller design is decreased exponentially.

关键词： kernel-PCA LMIs LPV error to norm ratio computational complexity and control design

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Enhancing Collaborative and Geometric Multi-Kernel Learning Using Deep Neural Network

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Computers, Materials & Continua 2022年第9期72卷 5099-5116页

作者： Bareera Zafar Syed Abbas Zilqurnain Naqvi muhammad ahsan Allah Ditta Ummul Baneen muhammad Adnan Khan Department of Mechatronics and Control Engineering University of Engineering and TechnologyLahore54890Pakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahore54000Pakistan Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department Software Gachon UniversitySeongnam13120Korea

This research proposes a method called enhanced collaborative andgeometric multi-kernel learning (E-CGMKL) that can enhance the CGMKLalgorithm which deals with multi-class classification problems with non-lineardata distributions. CGMKL combines multiple kernel learning with softmaxfunction using the framework of multi empirical kernel learning (MEKL) inwhich empirical kernel mapping (EKM) provides explicit feature constructionin the high dimensional kernel space. CGMKL ensures the consistent outputof samples across kernel spaces and minimizes the within-class distance tohighlight geometric features of multiple classes. However, the kernels constructed by CGMKL do not have any explicit relationship among them andtry to construct high dimensional feature representations independently fromeach other. This could be disadvantageous for learning on datasets with complex hidden structures. To overcome this limitation, E-CGMKL constructskernel spaces from hidden layers of trained deep neural networks (DNN).Due to the nature of the DNN architecture, these kernel spaces not onlyprovide multiple feature representations but also inherit the compositionalhierarchy of the hidden layers, which might be beneficial for enhancing thepredictive performance of the CGMKL algorithm on complex data withnatural hierarchical structures, for example, image data. Furthermore, ourproposed scheme handles image data by constructing kernel spaces from aconvolutional neural network (CNN). Considering the effectiveness of CNNarchitecture on image data, these kernel spaces provide a major advantageover the CGMKL algorithm which does not exploit the CNN architecture forconstructing kernel spaces from image data. Additionally, outputs of hiddenlayers directly provide features for kernel spaces and unlike CGMKL, do notrequire an approximate MEKL framework. E-CGMKL combines the consistency and geometry preserving aspects of CGMKL with the compositionalhierarchy of kernel spaces extracted from DNN hidde

关键词： CGMKL multi-class classification deep neural network multiplekernel learning hierarchical kernel spaces

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Exploration of Genetic Pattern of Phenological Traits in Wheat (Triticum aestivum L.) under Drought Stress

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Phyton-International Journal of Experimental Botany 2022年第12期91卷 2733-2758页

作者： Iqra Ishaaq muhammad Umer farooq Syeda Anjum Tahira Rizwana Maqbool Celaleddin Barutçular muhammad Yasir Saira Bano Zaid Ulhassan Ghassan Zahid muhammad ahsan Asghar Sajad Hussain Kocsy Gabor Ulkar Ibrahimova Jianqing Zhu Anshu Rastogi Department of Plant Breeding and Genetics Faculty of AgricultureUniversity of Agriculture FaisalabadFaisalabad38040Pakistan Department of Botany Faculty of Life SciencesUniversity of OkaraOkara56130Pakistan Department of Field Crops Faculty of AgricultureÇukurova UniversityAdana01330Turkey Department of Crop Genetics and Breeding Rice Research InstituteSichuan Agricultural UniversityChengdu Campus611130China Key Laboratory of Agriculture Products Improvement Zhejiang Agriculture and Forestry UniversityHangzhou311300China Institute of Crop Science Ministry of Agriculture and Rural Affairs Key Laboratory of Spectroscopy SensingZhejiang UniversityHangzhou310058China Department of Biotechnology Institute of Natural and Applied SciencesÇukurova UniversityAdana01330Turkey Agricultural Institute ELKH Centre for Agricultural ResearchMartonvásár2462Hungary College of Agronomy Sichuan Agricultural UniversityYa’an611130China Institute of Molecular Biology and Biotechnologies Azerbaijan National Academy of SciencesBakuAZ 1073Azerbaijan Research Institute of Crop Husbandry Ministry of Agriculture of the Azerbaijan RepublicBakuAZ 1098Azerbaijan Laboratory of Bioclimatology Department of Ecology and Environmental ProtectionPoznan University of Life SciencesPoznan60-649Poland

Drought is the major detrimental environmental factor for wheat(Triticum aestivum L.)*** exploration of genetic patterns underlying drought tolerance is of great *** we report the gene actions controlling the phenological traits using the line×tester model studying 27 crosses and 12 parents under normal irrigation and drought *** results interpreted via multiple analysis(mean performance,correlations,principal component,genetic analysis,heterotic and heterobeltiotic potential)disclosed highly significant differences among *** phenological waxiness traits(glume,boom,and sheath)were strongly *** leaf area exhibits a positive association with peduncle and spike length under *** growing degree days(heat-units)greatly influence spikelets and grains per spike,however,the grain yield/plant was significantly reduced(17.44 g to 13.25 g)under *** principal components based on eigenvalue indicated significant PCs(first-seven)accounted for 79.9%and 73.9%of total variability under normal irrigation and drought,*** investigated yield traits showed complex genetic *** genetic advance confronted a moderate to high heritability for spikelets/spike and grain yield/*** traits conditioned by dominant genetic effects in normal irrigation were inversely controlled by additive genetic effects under drought and vice *** magnitude of dominance effects for phenological and yield traits,i.e.,leaf twist,auricle hairiness,grain yield/plant,spikelets,and grains/spike suggests that selection by the pedigree method is appropriate for improving these traits under normal irrigation conditions and could serve as an indirect selection index for improving yield-oriented traits in wheat populations for drought ***,the phenotypic selection could be more than effective for traits conditioned by additive genetic effects under *** suggest five significant cross combinations base

关键词： Wheat drought phenological traits genetic variability heterotic and heterobeltiotic potential

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Biochemical Mechanism Unlocking Their Potential Role in Salt Tolerance Mechanism of Zizyphus Germplasm

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Phyton-International Journal of Experimental Botany 2023年第5期92卷 1539-1553页

作者： Riaz Ahmad Hafiza Muniba Din muhammad Safina Naz Meryam Manzoor muhammad ahsan Altaf Department of Horticulture The University of AgricultureDera Ismail Khan29050Pakistan Department of Horticulture Bahauddin Zakariya UniversityMultan60060Pakistan College of Horticulture Hainan UniversityHaikou570228China

Salinity is one of the major constraints reducing plant growth and *** with poor quality and brackish water to orchards is a major cause of stunted growth and low *** salt tolerance mechanism is one of the complicated genomic characters that is very problematic to develop in fruit trees and becomes much more severe at any growth and developmental *** stress and hormonal imbalances are major constraints causing low biomass *** tree tolerance/sensitivity is chiefly based on the activation of a defense system comprised of super-oxidase dismutase(SOD),peroxidase(POD)and catalases(CAT),non-enzymatic compounds including ascorbic acid,phenolics,flavonoids,stress indicators[i.e.,hydrogen peroxide(H2O2),lipid peroxidation,malondialdehyde(MDA),reactive oxygen species(ROS)and osmolytes containing proline,glycine-betaine(GB),ascorbates(APX),glutathione peroxidase(GPX)and glutathione reductase(GR)].Tolerant genotypes must have higher antioxidant assays to cope with the adverse effects of salinity stress because their defense system had the potential to scavenge toxic ROS and protect from membrane *** work is conducted on agronomic and horticultural crops;however,underutilized fruit crops are still neglected and need serious consideration from plant *** fruit crops especially Zizyphus had excellent nutritional *** current study provides detailed insights into the physiological and biochemical mechanisms of Zizyphus species to cope with the adverse effects of salinity by improving their plant defense *** development of salt-tolerant germplasm is a requisite and can be developed by utilization of physiological,biochemical,and molecular *** of different molecular approaches(i.e.,genome mapping,genome editing,genetic transformation,proteomics,transcriptomics,and metabolites)are effective for higher yield by improving tolerance mechanisms.

关键词： Low yield metabolic developments plant defense system saline water irrigation

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On Vertex-Edge-Degree Topological Descriptors for Certain Crystal Networks

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Computer Systems Science & Engineering 2022年第3期40卷 835-850页

作者： Sadia Husain Fouad A.Abolaban Ali Ahmad muhammad ahsan Asim Yasir Ahmad College of Computer Sciences and Information Technology Jazan UniversitySaudi Arabia King Abdulaziz University College of EngineeringNuclear Engineering DepartmentJeddah21589Saudi Arabia

Due to the combinatorial nature of graphs they are used easily in pure sciences and social *** dynamical arrangement of vertices and their associated edges make them flexible(like liquid)to attain the shape of any physical structure or phenomenon *** the field of ICT they are used to reflect distributed component and communication among *** chemistry is another interesting domain of applied mathematics that endeavors to display the structure of compounds that are formed in result of chemical *** area attracts the researchers due to its applications in theoretical and organic *** also inspires the mathematicians due to involvement of mathematical *** or irregular bonding ability of molecules and their formation of chemical compounds can be analyzed using atomic valences(vertex degrees).Pictorial representation of these compounds helps in identifying their properties by computing different graph invariants that is really considered as an application of graph *** paper reflects the work on topological indices such as ev-degree Zagreb index,the first ve-degree Zagrebindex,the first ve-degree Zagrebindex,the second ve-degree Zagreb index,ve-degree Randic index,the ev-degree Randic index,the ve-degree atom-bond connectivity index,the ve-degree geometric-arithmetic index,the ve-degree harmonic index and the ve-degree sum-connectivity index for crystal structural networks namely,bismuth tri-iodide and lead *** this article we have determine the exact values of ve-degree and ev-degree based topological descriptors for crystal networks.

关键词： ev-degree ve-degree topological indices crystal networks

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Metal-Doped Brushite Cement for Bone Regeneration

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Journal of Bionic Engineering 2023年第6期20卷 2716-2731页

作者： muhammad Aqib Aneela Anwar Humayun Ajaz Samina Akbar ahsan Manzoor Maham Abid Zohaib Waheed Qudsia Kanwal Department of Chemistry University of Engineering and TechnologyGT RoadLahore54890Pakistan Department of Chemistry University of LahoreLahore5400Pakistan

For the past several years,calcium phosphate cement was used in the biomedical *** biocompatibility,good bioactivity,self-setting qualities,minimum setting degree,appropriate toughness,and simple shape to accommodate any difficult geometry are among their most notable *** phosphate has some types and brushite is one of the most attractive mineral for bone repair *** is extensively employed in filling fractures and trauma treatments as a bone substituted *** kind of material can potentially be used as a medicine delivery *** replacement of metal,such as magnesium,zinc,and strontium ions,into the calcium phosphate structure is a major research topic these *** cement has low mechanical strength and quick setting *** is possible to produce biomaterials with higher mechanical *** adding metal that are great potential in controlling cellular density when included into *** a result,it is a successful method to develop quite well regenerative *** paper provides a detailed summary of the present achievements of metal-doped brushite cement for bone repair and healing *** major purpose of this work is to give a simple but thorough analysis of current successes in brushite cement doped with Zn,Mg,Sr,and other ions as well as to highlight new advancements and *** impact of metal replacement on cement physical and chemical properties,including microstructure,setting time,injectability,mechanical property,and ion release,is *** metal-doped cement has osteogenesis,angiogenesis,and antibacterial properties,as well as their prospective utility as drug carriers,also considered.

关键词： Calcium phosphate Brushite Bone cement Metal dopants Bone regeneration

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Robust Length of Stay Prediction Model for Indoor Patients

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Computers, Materials & Continua 2022年第3期70卷 5519-5536页

作者： Ayesha Siddiqa Syed Abbas Zilqurnain Naqvi muhammad ahsan Allah Ditta Hani Alquhayz M.A.Khan muhammad Adnan Khan Department of Mechatronics and Control Engineering University of Engineering and TechnologyLahore54000Pakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahore54000Pakistan Department of Computer Science and Information College of Science in ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Riphah School of Computing&Innovation Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Pattern Recognition and Machine Learning Lab Department of SoftwareGachon UniversitySeongnam13557Korea

Due to unforeseen climate change,complicated chronic diseases,and mutation of viruses’hospital administration’s top challenge is to know about the Length of stay(LOS)of different diseased patients in the *** management does not exactly know when the existing patient leaves the hospital;this information could be crucial for hospital *** could allow them to take more patients for *** a result,hospitals face many problems managing available resources and new patients in getting entries for their prompt ***,a robust model needs to be designed to help hospital administration predict patients’LOS to resolve these *** this purpose,a very large-sized data(more than 2.3 million patients’data)related to New-York Hospitals patients and containing information about a wide range of diseases including Bone-Marrow,Tuberculosis,Intestinal Transplant,Mental illness,Leukaemia,Spinal cord injury,Trauma,Rehabilitation,Kidney and Alcoholic Patients,HIV Patients,Malignant Breast disorder,Asthma,Respiratory distress syndrome,*** been analyzed to predict the *** selected six Machine learning(ML)models named:Multiple linear regression(MLR),Lasso regression(LR),Ridge regression(RR),Decision tree regression(DTR),Extreme gradient boosting regression(XGBR),and Random Forest regression(RFR).The selected models’predictive performance was checked using R square andMean square error(MSE)as the performance evaluation *** results revealed the superior predictive performance of the RFRmodel,both in terms of RS score(92%)and MSE score(5),among all selected *** Exploratory data analysis(EDA),we conclude that maximumstay was between 0 to 5 days with the meantime of each patient 5.3 days and more than 50 years old patients spent more days in the *** on the average LOS,results revealed that the patients with diagnoses related to birth complications spent more days in the hospital than other *** finding coul

关键词： Length of stay machine learning robust model random forest regression

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HRNetO:Human Action Recognition Using Unified Deep Features Optimization Framework

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计算机、材料和连续体（英文） 2023年第4期75卷 1089-1105页

作者： Tehseen ahsan Sohail Khalid Shaheryar Najam muhammad Attique Khan Ye Jin Kim Byoungchol Chang Department of Electrical Engineering Riphah International UniversityPeshawar Rdnear Hajj ComplexI-14IslamabadIslamabad Capital Territory46000Pakistan Departmnt of Computer Science HITEC UniversityTaxila47080Pakistan Department of Computer Science Hanyang UniversitySeoul04763Korea Center for Computational Social Science Hanyang UniversitySeoul04763Korea

Human action recognition(HAR)attempts to understand a subject’sbehavior and assign a label to each action *** is more appealingbecause it has a wide range of applications in computer vision,such asvideo surveillance and smart *** attempts have been made in theliterature to develop an effective and robust framework for ***,theprocess remains difficult and may result in reduced accuracy due to severalchallenges,such as similarity among actions,extraction of essential features,and reduction of irrelevant *** this work,we proposed an end-toendframework using deep learning and an improved tree seed optimizationalgorithm for accurate *** proposed design consists of a *** the first step,frame preprocessing is *** the second step,two pre-trained deep learning models are fine-tuned and trained throughdeep transfer learning using preprocessed video *** the next step,deeplearning features of both fine-tuned models are fused using a new ParallelStandard Deviation Padding Max Value *** fused features arefurther optimized using an improved tree seed algorithm,and select the bestfeatures are finally classified by using the machine learning *** was carried out on five publicly available datasets,including UTInteraction,Weizmann,KTH,Hollywood,and IXAMS,and achieved higheraccuracy than previous techniques.

关键词： Action recognition features fusion deep learning features selection

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