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Experimental and computational study of annealed nickel sulfide quantum dots for catalytic and antibacterial activity

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Nano Materials Science 2024年第3期6卷 355-364页

作者： Muhammad Ikram Sawaira Moeen Ali Haider anwar ul-hamid Haya Alhummiany Hamoud H.Somaily Souraya Goumri-Said Mohammed Benali Kanoun Solar Cell Applications Research Lab Department of PhysicsGovernment College University LahoreLahore54000PunjabPakistan Department of Clinical Sciences Faculty of Veterinary and Animal SciencesMuhammad Nawaz ShareefUniversity of Agriculture66000MultanPunjabPakistan Core Research Facilities King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia Department of Physics Faculty of ScienceUniversity of JeddahP.O.Box 13151Jeddah21493Saudi Arabia Department of Physics Faculty of ScienceKing Khalid UniversityP.O.Box 9004AbhaSaudi Arabia Physics Department College of Science and General StudiesAlfaisal UniversityP.O.Box 50927Riyadh11533Saudi Arabia Department of Mathematics and Sciences College of Humanities and SciencesPrince Sultan UniversityP.O.Box 66833Riyadh11586Saudi Arabia

This research investigates the hydrothermal synthesis and annealing duration effects on nickel sulfide(NiS_(2) quantum dots(QDs)for catalytic decolorization of methylene blue(MB)dye and antimicrobial *** size increased with longer annealing,reducing catalytic ***–vis,XRD,TEM,and FTIR analyses probed optical structural,morphological,and vibrational *** confirmed NiS2's anorthic structure,with crystallite size growing from 6.53 to 7.81 nm during extended ***–Vis exhibited a bathochromic shift,reflecting reduced band gap energy(Eg)in NiS_(2).TEM revealed NiS_(2)QD formation,with agglomerated QD average size increasing from 7.13 to 9.65 nm with prolonged *** NiS_(2) showed significant MB decolorization(89.85%)in acidic *** NiS_(2) QDs demonstrated notable antibacterial activity,yielding a 6.15mm inhibition zone against Escherichia coli(***)compared to ***-principles computation supported a robust interaction between MB and NiS_(2),evidenced by obtained adsorption *** study highlights the nuanced relationship between annealing duration,structural changes,and functional properties in NiS_(2)QDs,emphasizing their potential applications in catalysis and antibacterial interventions.

关键词： NiS_(2) antibacterial quantum dots dye degradation DFT

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Experimental and computational study of annealed nickel sulfide quantum dots for catalytic and antibacterial activity

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纳米材料科学 2024年第3期 355页

作者： Muhammad Ikram Sawaira Moeen Ali Haider anwar ul-hamid Haya Alhummiany Hamoud H.Somaily Souraya Goumri-Said Mohammed Benali Kanoun

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Identification of Software Bugs by Analyzing Natural Language-Based Requirements Using Optimized Deep Learning Features

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Computers, Materials & Continua 2024年第3期78卷 4379-4397页

作者： Qazi Mazhar ul Haq Fahim Arif Khursheed Aurangzeb Noor ul Ain Javed Ali Khan Saddaf Rubab Muhammad Shahid anwar Department of Computer Science and Engineering and International Bachelor’s Program in Informatics Yuan Ze UniversityZhongliTaoyuan320315Taiwan Department of Computer Science National University of PakistanRawalpindiPunjab46000Pakistan Department of Computer Software Engineering MCSNational University of Sciences and TechnologyIslamabad44000Pakistan Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Department of Computer Science School of PhysicsEngineering and Computer ScienceUniversity of HertfordshireHatfieldAL109ABUK Department of Computer Engineering College of Computing and InformaticsUniversity of SharjahSharjah27272United Arab Emirates Department of AI and Software Gachon UniversitySeongnam-SI13120South Korea

Software project outcomes heavily depend on natural language requirements,often causing diverse interpretations and issues like ambiguities and incomplete or faulty *** are exploring machine learning to predict software bugs,but a more precise and general approach is *** bug prediction is crucial for software evolution and user training,prompting an investigation into deep and ensemble learning ***,these studies are not generalized and efficient when extended to other ***,this paper proposed a hybrid approach combining multiple techniques to explore their effectiveness on bug identification *** methods involved feature selection,which is used to reduce the dimensionality and redundancy of features and select only the relevant ones;transfer learning is used to train and test the model on different datasets to analyze how much of the learning is passed to other datasets,and ensemble method is utilized to explore the increase in performance upon combining multiple classifiers in a *** National Aeronautics and Space Administration(NASA)and four Promise datasets are used in the study,showing an increase in the model’s performance by providing better Area Under the Receiver Operating Characteristic Curve(AUC-ROC)values when different classifiers were *** reveals that using an amalgam of techniques such as those used in this study,feature selection,transfer learning,and ensemble methods prove helpful in optimizing the software bug prediction models and providing high-performing,useful end mode.

关键词： Natural language processing software bug prediction transfer learning ensemble learning feature selection

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Partial Fusion (F) Gene Analysis of Newcastle Disease Virus Detected in Pakistan during 2021-2022

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Journal of Biosciences and Medicines 2024年第5期12卷 256-275页

作者： Muhammad Danish Mehmood Huma anwar ul-Haq Rauf Khalid Yasir Amin Muhammad Usman Ghani Muhammad Ismail Rabia Habib Fareeha Arshed Abdul Rasheed Shaukat Institute of Molecular Biology & Biotechnology University of Lahore Lahore Pakistan Research & Development Division Ottoman Pharma Lahore Pakistan Quality Assurance Department Ottoman Pharma Lahore Pakistan Veterinary Research and Disease Investigation Center Abbottabad Pakistan Quality Control Department Ottoman Pharma Immuno Lahore Pakistan Production Department Ottoman Pharma Lahore Pakistan Poultry Production Department Sabir&#8217s Poultry Pvt. Ltd. Sabroso Pakistan

Newcastle disease (ND) virus is a leading threat to commercial and domestic poultry in Pakistan. The virus infects and constitutes irreversible impairment to the nervous system, damages the respiratory system, and marks severe gastrointestinal lesions leading to heavy mortality in short-living birds and substantial losses in layers and breeders. The continuous emergence and evolution of the virus made it inclined to evade the humoral response and indirectly the circumvention of artificial active immunization. Newcastle disease is caused by the orthoavula genus of the paramyxoviridae family and has shown high genetic diversity even in their genotypes while information regarding enzootic trends of the virus is scanty in Pakistan. A total of 40 tracheal samples of NDV were collected from different commercial broiler farms and 11 isolates of NDV were identified. In the current study, we determined the genetic diversity of the Newcastle disease virus based on the partial sequencing of the fusion protein gene available in the NCBI database. Genetic analysis showed that seven isolates belonged to class I genotype VII and four belonged to class II genotype II. Interestingly, two isolates had epidemiological connections with vaccine-like class II genotype II. Our findings, concerning the recent outbreaks of class I genotype VII and class II genotype II of NDV in vaccinated commercial flocks, suggest possible potential partial mutations in the fusion protein gene. Genetic diversity and formation of the new cleavage site in an important neutralizing protein of wild strain are linked with the potency of artificial active immunization and a major cause of vaccine failure.

关键词： Newcastle Disease Virus Haemagglutination Inhibition Polymerase Chain Reaction Phylogenetic Tree Mutation Analysis

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Numerical investigation of transitions in flow states and variation in aerodynamic forces for flow around square cylinders arranged inline

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Chinese Journal of Aeronautics 2018年第11期31卷 2111-2123页

作者： Waqas SARWAR ABBASI Shams ul ISLAM Lubna FAIZ hamid RAHMAN Mathematics Department Air UniversityIslamabad Mathematics Department COMSATS Institute of Information Technology Mathematics and Statistics Department Bacha Khan University

This study focuses on the transitions in flow states around two-, three-and four-inline square cylinders under the effect of Reynolds numbers at two different gap spacing values using the lattice Boltzmann method. For this purpose, Reynolds number is varied in the range 1–130 while two different values of spacing taken into account are gap spacing =2 and 5. Before going to actual problem, the code is tested for flow around a single square cylinder by comparing the results with experimental and numerical results of other researchers, and good agreement is *** current numerical computations yield that for both spacing values and all combinations of cylinders there exist three different sates of flow depending on Reynolds numbers: steady state, transitional state and unsteady state. It is found that the range of Reynolds numbers for these flow states is different for both spacing values. At gap spacing =2 the range of Reynolds numbers for each flow state decreases by increasing the number of cylinders while at gap spacing =5 opposite trend is observed. The results also show that at gap spacing =2 the reduction in drag force is greater than the corresponding reduction at gap spacing =5. The maximum reduction in drag force is observed at Reynolds numbers =1 at both spacing values. Similarly, at both spacing values and all Reynolds numbers, the maximum reduction in drag force is observed for the case of four-inline square cylinders.

关键词： Drag reduction Flow states Gap spacing Inline cylinders Reynolds number

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Growth,yield and water productivity of dry direct seeded rice and transplanted aromatic rice under different irrigation management regimes

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Journal of Integrative Agriculture 2020年第11期19卷 2656-2673页

作者： Muhammad Ishfaq Nadeem Akbar Shakeel Ahmed Anjum Muhammad anwar-ul-haq Department of Agronomy University of AgricultureFaisalabad 38040Pakistan Department of Plant Science University of CaliforniaCalifornia 95616-8780USA Institute of Soil and Environmental Sciences University of AgricultureFaisalabad 38040Pakistan

Sustainability of traditionally cultivated rice in the rice-wheat cropping zone(RWCZ)of Pakistan is dwindling due to the high cost of production,declining water resources and escalating labour ***,farmers and researchers are compelled to find promising alternatives to traditional transplanted rice(TPR).A field study was conducted in Punjab,Pakistan,in 2017 and 2018 to explore the trade-offs between water saving and paddy yield,water productivity and economics of two aromatic rice varieties under dry direct seeded rice(DDSR)and *** experiment was comprised of three irrigation regimes on the basis of soil moisture tension(SMT)viz.,continuous flooded(>–10 kPa SMT),alternate wetting and drying(AWD)(–20 kPa SMT)and aerobic rice(–40 kPa SMT),maintained under TPR and DDSR *** aromatic rice verities:Basmati-515 and Chenab Basmati-2016 were used during both years of *** both years,DDSR produced higher yields(13–18%)and reduced the total water inputs(8–12%)in comparison to *** comparison to traditional continuous flooded(CF),AWD under DDSR reduced total water input by 27–29%and improved the leaf area index(LAI),tillering,yield(7–9%),and water productivity(44–50%).The performance of AWD with regard to water savings and increased productivity was much higher in DDSR system as compared to AWD in TPR *** of DDSR with aerobic irrigation improved water savings(49–55%)and water productivity(22–30%)at the expense of paddy yield reduction(36–39%)and spikelet *** regard to variety,the highest paddy yield(6.6 and 6.7 t ha–1)was recorded in DDSR using Chenab Basmati-2016 under AWD irrigation threshold that attributed to high tiller density and *** economic analysis showed DDSR as more beneficial rice establishment method than TPR with a high benefit-cost ratio(BCR)when the crop was irrigated with AWD irrigation *** results highlighted that with the use of short duration varieties,DDSR cultivation in conjunction wit

关键词： rice establishment aerobic alternate wetting and drying water input tillering yield

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The interaction mechanisms of co-existing polybrominated diphenyl ethers and engineered nanoparticles in environmental waters: A critical review

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Journal of Environmental Sciences 2023年第2期124卷 227-252页

作者： anwar ul Haq Khan Ravi Naidu Raja Dharmarajan Cheng Fang Hokyong Shon Zhaomin Dong Yanju Liu Global Centre for Environmental Remediation(GCER) College of Engineering Science and EnvironmentThe University of NewcastleCallaghanNSW 2308Australia Cooperative Research Centre for Contamination Assessment and Remediation of the Environment(CRC CARE) ATC BuildingThe University of NewcastleCallaghanNSW 2308Australia School of Civil and Environmental Engineering University of Technology Sydney(UTS)City CampusBroadwayNSW 2007Australia School of Space and Environment Beihang UniversityBeijging 100191China

This review focuses on the occurrence and interactions of engineered nanoparticles(ENPs)and brominated flame retardants(BFRs)such as polybrominated diphenyl ethers(PBDEs)in water systems and the generation of highly complex compounds in the *** release of ENPs and BFRs(***)to aquatic environments during their usage and disposal are summarised together with their key interaction *** major interaction mechanisms including electrostatic,van derWaals,hydrophobic,molecular bridging and steric,hydrogen andπ-bonding,cation bridging and ligand exchange were *** presence of ENPs could influence the fate and behaviour of PBDEs through the interactions as well as induced reactions under certain conditions which increases the formation of complex *** interaction leads to alteration of behaviour for PBDEs and their toxic effects to ecological *** intermingled compound(ENPs-BFRs)would show different behaviour from the parental ENPs or BFRs,which are currently lack of *** review provided insights on the interactions of ENPs and BFRs in artificial,environmental water systems and wastewater treatment plants(WWTPs),which are important for a comprehensive risk assessment.

关键词： Engineered nanoparticles(ENPs) Polybrominated diphenyl ethers (PBDEs) Wastewater treatment plants (WWTPs) Emerging contaminants(ECs) Interaction mechanisms

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IoT Devices Authentication Using Artificial Neural Network

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Computers, Materials & Continua 2022年第2期70卷 3701-3716页

作者： Syed Shabih ul Hasan anwar Ghani Ikram Ud Din Ahmad Almogren Ayman Altameem Department of Computer Science and Software Engineering International Islamic University Islamabad45000Pakistan Department of Information Technology The University of Haripur22620HaripurPakistan Chair of Cyber Security Department of Computer ScienceCollege of Computer and Information SciencesKing Saud UniversityRiyadh11633Saudi Arabia Chair of Cyber Security Department of Natural and Engineering SciencesCollege of Applied Studies and Community ServicesKing Saud UniversityRiyadh11543Saudi Arabia

User authentication is one of the critical concerns of information *** tend to use strong textual passwords,but remembering complex passwords is hard as they often write it on a piece of paper or save it in their mobile *** passwords are slightly unprotected and are easily *** attacks include dictionary,shoulder surfing,and brute *** passwords overcome the shortcomings of textual passwords and are designed to aid memorability and ease of *** paper proposes a Process-based Pattern Authentication(PPA)system for Internet of Things(IoT)devices that does not require a server to maintain a static password of the login *** server stores user’s information,which they provide at the time of registration,i.e.,the R-code and the symbol,but the P-code,i.e.,the actual password,will change with every login attempt of *** this scheme,users may draw a pattern on the basis of calculation from the P-code and Rcode in the PPA pattern,and can authenticate themselves using their touch dynamic behaviors through Artificial Neural Network(ANN).The ANN is trained on touch behaviors of legitimate users reporting superior performance over the existing *** experimental purposes,PPA is implemented as a prototype on a computer system to carry out experiments for the evaluation in terms of memorability and *** experiments show that the system has an effect of 5.03%of the False Rejection Rate(FRR)and 4.36%of the False Acceptance Rate(FAR),respectively.

关键词： Implicit authentication behavioral authentication artificial neural network processed pattern authentication

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Synthesis, Crystal Structure, Cytotoxic, Antileishmanial and Docking Evaluation of 3-(4-Chloro-3-nitrophenyl)-1-phenylprop-2-en-1-one

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Chinese Journal of Structural Chemistry 2018年第8期37卷 1250-1258页

作者： hamid Aziz AAMER Saeed FARUKH Jabeen ulRICH Florke QURAT-ul-Ain NADHMAN Akhter Department of Chemistry Quaid-I-Azam University Islamabad 45320 Pakistan Cardiovascular and Metabolic Research Unit Laurentian University 935 Ramsey Lake Road Sudbury ON Canada P3E 2C6 Department Chemie Fakultatfur Naturwissenschafien Universitat Paderborn Warburgerstrαβe 100 33098 Paderborn Germany Center for Interdisciplinary Research in Basic Sciences IIU Islamabad Pakistan

Chalcone derivatives are of immense importance owing to their superior pharmacological profile. Minor changes in their structures create high degree of diversity that results in a broader spectrum of biological activities. The present research paper presents the synthesis of 3-（4-chloro-3-nitrophenyl）-1-phenylprop-2-en-1-one chalcone（I）, single crystal XRD analysis and the evaluation of its possible biological activities like cytotoxic（LD（50） = 5.40 ug/m L）and antileishmanial（LD（50） = 0.81 ug/m L） activities. The results indicate the tested chalcone（I）shows superior inhibition values against leishmanial promastigotes. Further, the possible interaction sites of chalcone（I） with Try R enzyme involved in the redox metabolism of the leishmanial parasite were determined using docking simulation technique. Docking computations demonstrate that the compound establishes prominent binding interactions with the key residues of Try R and possesses the potential to effectively inhibit the catalytic activities of enzyme. Thus the results suggest that the chalcone（I） can serve as a potential scaffold for the treatment of leishmaniasis and deserve further development.

关键词： chalcone cytotoxicity antfleishmanial Claisen-Schmidt condensation moleculardocking

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Understanding the Language of ISIS:An Empirical Approach to Detect Radical Content on Twitter Using Machine Learning

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Computers, Materials & Continua 2021年第2期66卷 1075-1090页

作者： Zia ul Rehman Sagheer Abbas Muhammad Adnan Khan Ghulam Mustafa Hira Fayyaz Muhammad Hanif Muhammad anwar Saeed School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan Department of Computer Sciences Bahria UniversityLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Systems and Technology University of Management and TechnologyLahore54000Pakistan Department of CS&IT Virtual University of PakistanLahore54000Pakistan

The internet,particularly online social networking platforms have revolutionized the way extremist groups are influencing and radicalizing *** research reveals that the process initiates by exposing vast audiences to extremist content and then migrating potential victims to confined platforms for intensive ***,social networks have evolved as a persuasive tool for extremism aiding as recruitment platform and psychological ***,recognizing potential radical text or material is vital to restrict the circulation of the extremist *** aim of this research work is to identify radical text in social *** contributions are as follows:(i)A new dataset to be employed in radicalization detection;(ii)In depth analysis of new and previous datasets so that the variation in extremist group narrative could be identified;(iii)An approach to train classifier employing religious features along with radical features to detect radicalization;(iv)Observing the use of violent and bad words in radical,neutral and random groups by employing violent,terrorism and bad words *** research results clearly indicate that incorporating religious text in model training improves the accuracy,precision,recall,and F1-score of the *** a variation in extremist narrative has been observed implying that usage of new dataset can have substantial effect on classifier *** addition to this,violence and bad words are creating a differentiating factor between radical and random users but for neutral(anti-ISIS)group it needs further investigation.

关键词： Radicalization extremism machine learning natural language processing twitter text mining

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