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Recommender System for Configuration Management Process of Entrepreneurial Software Designing Firms

Computers, Materials & Continua 2021年第5期67卷 2373-2391页

作者： muhammad wajeeh uz zaman Yaser Hafeez Shariq Hussain Haris Anwaar Shunkun Yang Sadia Ali Aaqif Afzaal Abbasi Oh-Young Song University Institute of Information Technology Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindi46000Pakistan Department of Software Engineering Foundation University IslamabadIslamabad44000Pakistan Department of Electrical Electronics and Telecommunication EngineeringUniversity of Engineering and TechnologyLahore54000Pakistan School of Reliability and Systems Engineering Beihang UniversityBeijing100191China Department of Software Sejong UniversitySeoul05006South Korea

The rapid growth in software demand incentivizes software development organizations to develop exclusive software for their customers *** problem is addressed by the software development industry by software product line(SPL)practices that employ feature ***,optimal feature selection based on user requirements is a challenging ***,there is a requirement to resolve the challenges of software development,to increase satisfaction and maintain high product quality,for massive customer needs within limited *** this work,we propose a recommender system for the development team and clients to increase productivity and quality by utilizing historical information and prior experiences of similar developers and *** proposed system recommends features with their estimated cost concerning new software requirements,from all over the globe according to similar developers’and clients’needs and *** system guides and facilitates the development team by suggesting a list of features,code snippets,libraries,cheat sheets of programming languages,and coding references from a cloud-based knowledge management ***,a list of features is suggested to the client according to their needs and *** experimental results revealed that the proposed recommender system is feasible and effective,providing better recommendations to developers and *** provides proper and reasonably well-estimated costs to perform development tasks effectively as well as increase the client’s satisfaction *** results indicate that there is an increase in productivity,performance,and quality of products and a reduction in effort,complexity,and system ***,our proposed system facilitates developers and clients during development by providing better recommendations in terms of solutions and anticipated ***,the increase in productivity and satisfaction level maximizes the benefits and usability of SPL in the

关键词： Feature selection recommender system software reuse configuration management

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Elevating Image Steganography:A Fusion of MSB Matching and LSB Substitution for Enhanced Concealment Capabilities

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Computers, Materials & Continua 2024年第5期79卷 2923-2943页

作者： muhammad zaman Ali Omer Riaz Hafiz muhammad Hasnain Waqas Sharif Tenvir Ali Gyu Sang Choi Department of Information Technology The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Computer Science The Islamia University of BahawalpurBahawalpur63100Pakistan School of Computer Science and Engineering Yeungnam UniversityGyeongbuk38541Korea

In today’s rapidly evolving landscape of communication technologies,ensuring the secure delivery of sensitive data has become an essential *** overcome these difficulties,different steganography and data encryption methods have been proposed by researchers to secure *** of the proposed steganography techniques achieve higher embedding capacities without compromising visual imperceptibility using LSB *** this work,we have an approach that utilizes a combinationofMost SignificantBit(MSB)matching andLeast Significant Bit(LSB)*** proposed algorithm divides confidential messages into pairs of bits and connects them with the MSBs of individual pixels using pair matching,enabling the storage of 6 bits in one pixel by modifying a maximum of three *** proposed technique is evaluated using embedding capacity and Peak Signal-to-Noise Ratio(PSNR)score,we compared our work with the Zakariya scheme the results showed a significant increase in data concealment *** achieved results of ourwork showthat our algorithmdemonstrates an improvement in hiding capacity from11%to 22%for different data samples while maintaining a minimumPeak Signal-to-Noise Ratio(PSNR)of 37 *** findings highlight the effectiveness and trustworthiness of the proposed algorithm in securing the communication process and maintaining visual integrity.

关键词： Steganography most significant bit(MSB) least significant bit(LSB) peak signal-to-noise ratio(PSNR)

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Combined Application of Biostimulants and EDTA Improved Wheat Productivity under Cadmium Stress

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Phyton-International Journal of Experimental Botany 2024年第7期93卷 1647-1665页

作者： Abida Aziz Shafiqa Bano Mubshar Hussain muhammad Farooq Azhar Ghulam Yasin Naila Hadayat Iqra Arooj Abeer Hashem Ajay Kumar Elsayed Fathi Abd_Allah Qamar uz zaman Department of Botany The Women UniversityMultan54500Pakistan Institute of Agronomy Bahauddin Zakariya UniversityMultan60800Pakistan Department of Forestry and Range Management Bahauddin Zakariya UniversityMultan60800Pakistan Department of Botany Division of Science&TechnologyUniversity of EducationLahore54770Pakistan Department of Microbiology&Molecular Genetics The Women UniversityMultan54500Pakistan Botany and Microbiology Department College of ScienceKing Saud UniversityRiyadh201313Saudi Arabia Amity Institute of Biotechnology Amity UniversityNoida201313India Plant Production Department College of Food and Agricultural SciencesKing Saud UniversityRiyadh11451Saudi Arabia School of Agriculture Yunnan UniversityKunmingYunan650504China Department of Environmental Sciences The University of LahoreLahore54590Pakistan

Wheat(Triticum aestivum L.)exhibits a greater capacity for cadmium(Cd)absorption compared to other cereal crops,leading to elevated daily Cd intake,and posing a signiﬁcant threat to public *** the mitigation of Cd stress in sustainable and environmentally friendly way,a pot study was designed by using exogenous application of various biostimulants,i.e.,Nigella sativa and Ocimum sanctum extracts:0%,10%,and 20%in combination with the chelating agent ethylenediaminetetraacetic acid(EDTA)using 0 and 5 mg kg^(-1) under various levels of Cd stress(i.e.,0,5,10,and 15 mg kg^(-1) soil).Results revealed that Cd stress signiﬁcantly reduced the seed emergence,growth,root,and allometric characters and yield-related parameters of wheat *** most observable reduc-tion was documented in wheat plants exposed to a higher Cd concentration(15 mg kg^(-1)),followed by the lower Cd level(control).The combined application of bio-stimulants and EDTA minimized the negative impacts of Cd *** highest increase in seedling emergence(5.44%),leaf area(50.60%),number of tillers(31.02%),grain yield per plant(24.28%),biological yield(13.97%),and decrease in Cd levels in grains(40%)was noticed where 20%foliar application of *** and 10%of *** biostimulants were done using 5 mg kg^(-1) of soil-applied *** intervention demonstrated a notable reduction in Cd-induced negative effects,highlighting the potential of these substances in promoting sustainable wheat cultivation in contaminated ***,it is an eco-friendly and approachable method at theﬁeld level able to ensure food safety.

关键词： Abiotic stress allometric characters antioxidant activity crop yield seed emergence grain yield

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Reducing carbon emissions with Geoscience solutions:A look at the contributions of nuclear energy,technology,and green finance

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Geoscience Frontiers 2024年第4期15卷 411-426页

作者： Aifeng Liu muhammad Imran Abdelmohsen A.Nassani Rima H.Binsaeed Khalid zaman International Business School Shaanxi Normal UniversityXi’anChina Department of Economics The University of HaripurHaripur Khyber Pakhtunkhwa 22620Pakistan Department of Management College of Business AdministrationKing Saud UniversityP.O.Box 71115Riyadh 11587Saudi Arabia

Standards for Low-Carbon Energy Portfolios(LC-EPS)mandate that a certain percentage of a region's electricity generation originate from zero-or low-emissions *** 1995Q1 through 2020Q4,the study used the ARDL-Bounds testing technique to estimate coefficient parameters,Granger causality to draw causal inferences,and variance decomposition analysis to anticipate the factors that will have the greatest impact on carbon emissions in the US *** power significantly impacts carbon emissions,as seen by an inverted U-shaped environmental Kuznets curve,whereas long-term impact of innovation leads to lower *** the other hand,exports of sophisticated technology reduce carbon *** growth has a discernible effect on carbon emissions,nuclear power,innovation,and environmentally friendly ***-tech exports will likely impact carbon emissions most,followed by a demand for nuclear power,innovation,economic expansion,and sustainable finance for the next ten *** results give policymakers helpful insight into how the US economy may reduce carbon emissions and fight climate change via renewable energy and green finance.

关键词： Nuclear energy demand High technology exports Innovation Economic growth Green finance USA

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Does nuclear energy reduce carbon emissions despite using fuels and chemicals?Transition to clean energy and finance for green solutions

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Geoscience Frontiers 2024年第4期15卷 359-371页

作者： muhammad Imran Khalid zaman Abdelmohsen A.Nassani Gheorghița Dinca˘ Haroon ur Rashid Khan Mohamed Haffar Department of Economics The University of HaripurHaripur Khyber Pakhtunkhwa 22620Pakistan Department of Management College of Business AdministrationKing Saud UniversityP.O.Box 71115Riyadh 11587Saudi Arabia Finance and Accounting Department Transilvania University of BrașovRomania Faculty of Business The University of Wollongong in DubaiDubai 20183United Arab Emirates Department of Management Birmingham Business SchoolUniversity of BirminghamBirminghamUnited Kingdom

Green power conversion is the shift away from traditional fuels towards clean energy sources such as nuclear power plants,hydroelectric dams,wind farms,and solar *** research examines the impact of clean energy demand and green financing on reducing carbon emissions in 29 economies in Europe and Asia from 2007 to *** study used a two-step differenced GMM estimator for the available data set spanning 2007 to *** study found that rising demand for nuclear power helps to achieve a carbon-neutral agenda,but insufficient funding for renewable energy leads to higher carbon *** research suggests increasing investment in nuclear energy and green financing can improve regional environmental *** study found a causal link between fuel imports,nuclear power and regional *** also determined that fuel imports,chemical use,green financing and the need for nuclear energy will likely impact regional environmental *** research recommends allocating more resources toward innovation to boost energy efficiency and expanding investment in renewable and nuclear energy production industries via green *** study also highlights the need to encourage the development of renewable energy sources to cut carbon emissions and establish a sustainable society.

关键词： Nuclear energy Renewable energy Green financing Fuel imports Chemical use Differenced GMM estimator

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Seed Priming with Potassium Nitrate Can Enhance Salt Stress Tolerance in Maize

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Phyton-International Journal of Experimental Botany 2024年第8期93卷 1819-1838页

作者： Bushra Rehman Asma Zulfiqar Houneida Attia Rehana Sardar Muneera A.Saleh Khalid H.Alamer Ibtisam M.Alsudays Faisal Mehmood Qamar uz zaman Institute of Botany University of the PunjabLahore54590Pakistan Department of Biology College of ScienceTaif UniversityTaif21944Saudi Arabia Department of Botany Emerson UniversityMultan60000Pakistan Biological Sciences Department Faculty of Science and ArtsKing Abdulaziz UniversityRabigh21911Saudi Arabia Department of Biology College of ScienceQassim UniversityBurydah52571Saudi Arabia Department of Chemistry Sciences The University of LahoreLahore54590Pakistan Department of Environmental Sciences The University of LahoreLahore54590Pakistan

Salinity is a major abiotic stress that hinders plant development and productivity and influences agricultural *** priming is a technique used to boost germination and seedling growth under abiotic stress.A pot experiment was conducted to evaluate the impact of seed priming with potassium nitrate(KNO_(3))at various levels(0%,0.50%,1.00%and 1.50%)under salt stress(0,75,100 mM NaCl)on two maize verities(MNH360 and 30T60)for the growth,development and metabolic attributes results revealed that in maize variety MNH360,KNO_(3)priming’s significantly enhanced growth parameters than in maize variety 30T60 under control and salt-stressed *** with KNO_(3)enhanced carotenoids and total chlorophyll in the 30T60 variety that protected the maize plants from salt ***,it was shown that priming with 1.00%KNO_(3)acts as safeguarded to protect them from oxidative damage by salt stress minimizing reactive oxygen species(ROS)formation through increased levels of malondialdehyde(MDA),catalase(CAT),peroxidase(POD),ascorbate peroxidase(APX),and total soluble *** findings of the present study confirm that the use of the KNO_(3)seed priming technique is a lowcost,environmentally friendly technique for mitigating adverse impacts of salt stress in maize crops by activating the antioxidant defense system and improving chlorophyll and osmolyte contents.

关键词： Salinity Zea mays antioxidant enzymes growth seedlings oxidative damage

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Prediction of corrosion rate for friction stir processed WE43 alloy by combining PSO-based virtual sample generation and machine learning

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Journal of Magnesium and Alloys 2024年第4期12卷 1518-1528页

作者： Annayath Maqbool Abdul Khalad Noor zaman Khan Department of Mechanical Engineering National Institute of Technology SrinagarJ&K 190006India Department of Mechanical Engineering Indian Institute of TechnologyHyderabadSangareddyTelangana 502284India School of Engineering Deakin UniversityVictoria 3216Australia

The corrosion rate is a crucial factor that impacts the longevity of materials in different *** undergoing friction stir processing(FSP),the refined grain structure leads to a notable decrease in corrosion ***,a better understanding of the correlation between the FSP process parameters and the corrosion rate is still *** current study used machine learning to establish the relationship between the corrosion rate and FSP process parameters(rotational speed,traverse speed,and shoulder diameter)for WE43 *** Taguchi L27 design of experiments was used for the experimental *** addition,synthetic data was generated using particle swarm optimization for virtual sample generation(VSG).The application of VSG has led to an increase in the prediction accuracy of machine learning models.A sensitivity analysis was performed using Shapley Additive Explanations to determine the key factors affecting the corrosion *** shoulder diameter had a significant impact in comparison to the traverse speed.A graphical user interface(GUI)has been created to predict the corrosion rate using the identified *** study focuses on the WE43 alloy,but its findings can also be used to predict the corrosion rate of other magnesium alloys.

关键词： Corrosion rate Friction stir processing Virtual sample generation Particle swarm optimization Machine learning Graphical user interface

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Leveraging a new thermosensor for heat-smart future agriculture

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Plant Communications 2024年第9期5卷 1-4页

作者： Ali Raza Qamar U.zaman Zhangli Hu Guangdong Key Laboratory of Plant Epigenetics College of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060China College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhen 518060China Shenzhen Engineering Laboratory for Marine Algal Biotechnology Guangdong Technology Research Center for Marine Algal BiotechnologyCollege of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060China Shenzhen Collaborative Innovation Public Service Platform for Marine Algae Industry Longhua Innovation Institute for BiotechnologyCollege of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060China School of Breeding and Multiplication(Sanya Institute of Breeding and Multiplication) Hainan Yazhou-Bay Seed LaboratoryHainan UniversitySanya 572025China Collaborative Innovation Center of Nanfan and High-Efficiency Tropical Agriculture School of Tropical CropsHainan UniversityHaikou 570228China

As global temperatures rise owing to climate change,crops are increasingly subjected to conditions that surpass their optimal temperature ranges,leading to heat stress(HS).HS impacts many morpho-physiological,biochemical,and molecular mechanisms in plants,ultimately affecting sustainable agricultural production worldwide(Ding et al.,2020;Kan et al.,2023;Raza et al.,2024).

关键词： smart pass crops

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The role of green industrial transformation in mitigating carbon emissions:Exploring the channels of technological innovation and environmental regulation

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Energy and Built Environment 2024年第3期5卷 464-479页

作者： Saima Mehmood Khalid zaman Shiraz Khan Zohaib Ali Haroon ur Rashid Khan Department of Economics The University of HaripurHaripurKhyber Pakhtunkhwa 22620Pakistan Department of Management Sciences The University of HaripurHaripurKhyber Pakhtunkhwa 22620Pakistan Department of Energy and Process Engineering(EPT) Norwegian University of Science and TechnologyHøgskoleringen 1Trondheim 7034Norway Faculty of Business The University of Wollongong in DubaiDubai 20183United Arab Emirates

The industrial sector is vital to economic progress,yet industrial pollution poses environmental and economic *** purpose of the study was to investigate the influence of green industrial transformation in re-ducing Pakistan’s carbon intensity between 1975 and *** emissions are considered an endogenous construct,while foreign direct investment(FDI)inflows,technological innovation,green industrial transforma-tion,environmental legislation,and research and development(R&D)investment are possible *** association between variables is assessed using the robust least-squares *** industrial transforma-tion is connected with lower carbon emissions,yet technical innovation,R&D investment,and inbound FDI raise a country’s carbon *** findings support the pollution haven hypothesis in a *** causality esti-mates indicate that inward FDI contributes to environmental regulations;green industrial transformation directly relates to inbound FDI and R&D expenditures;and technological innovations correspond to inbound FDI,R&D ex-penditures,industrial ecofriendly progression,and environmental *** to the impulse response function,environmental policies are anticipated to have a differential effect on carbon emissions in 2023,2024,2028-2030,while they are likely to decrease in the years 2025-2027 and 2031 ***,inward FDI and technology advancements would almost certainly result in a rise in carbon emissions over *** industrial transitions are projected to result in a ten-year reduction in carbon *** variance decomposi-tion analysis indicates that eco-friendly industrial adaptations would likely have the largest variance error shock on carbon emissions(11.747%),followed by inbound FDI,technological advancements,and regulatory changes,with R&D spending having a minimal impact over ***’s economy should foster a green industrial revolution to avoid pollution and increase environm

关键词： Carbon intensity Industrial green transformation Environmental regulations Technological innovations Robust least squares regression

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Kinetically and thermodynamically expediting elementary steps via high-valence Cr-incorporated of nickel selenide for water electrolysis

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Nano Research 2024年第3期17卷 1199-1208页

作者： Huafeng Fan Dongxu Jiao Jinchang Fan Dewen Wang Bilal zaman Wei Zhang Lei Zhang Weitao Zheng Xiaoqiang Cui State Key Laboratory of Automotive Simulation and Control School of Materials Science and EngineeringKey Laboratory of Automobile Materials of MOEJilin Provincial International Cooperation Key Laboratory of High-Efficiency Clean Energy MaterialsElectron Microscopy CenterJilin UniversityChangchun 130012China College of Chemistry Jilin UniversityChangchun 130012China

Designing high-performance electrocatalysts toward hydrogen evolution reaction(HER)and oxygen evolution reaction(OER)is essential to reduce the activation barrier and optimize free adsorption energy of reactive ***,we report that incorporating high-valence Cr into NiSe_(2)(Cr_(x)Ni_(1-x)Se_(2))kinetically and thermodynamically expedites elementary steps of both HER and *** as-prepared Cr_(0.05)Ni_(0.95)Se_(2) catalyst displays excellent HER and OER activities,with low overpotentials of 89 and 272 mV at the current density of 10 mA·cm^(-2)(j10),respectively,and remains stable during operation for 30 h.A low cell voltage of only 1.59 V is required to drive j10 in alkaline *** situ Raman spectroscopy reveals that Cr incorporation facilitates the formation of NiOOH active species during the OER ***,theoretical explorations demonstrate that high-valence Cr incorporation efficiently accelerates water dissociation kinetics and improves H*adsorption during HER process,lowering the activation barrier of OER and optimizing the adsorption energy of oxygen-based intermediate,thus kinetically and thermodynamically enhancing the intrinsic performance of NiSe_(2) for over water *** strategy provides a new horizon to design transition metal based electrocatalysts in the clean energy field.

关键词： nickel selenide electrocatalytic water splitting high-valence Cr density functional theory(DFT)calculation

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