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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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Aldosterone synthase inhibitor“Baxdrostat”for resistant hypertension:A clinical approach or futuristic idea?

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Chronic Diseases and Translational Medicine 2024年第2期10卷 146-148页

作者： Muhammad Osama Siddiqui Ayaan Ahmed Qureshi Arooba Siddiqui noor ul ain Liaquat National Hospital and Medical College KarachiSindhPakistan Karachi Medical and Dental College KarachiSindhPakistan

The American College of Cardiology/American Heart Association defines resistant hypertension(RH)as a clinical blood pressure(BP)reading of>130/80 mmHg in patients taking three antihypertensive drugs,including a renin–angiotensin system inhibitor,a calcium channel blocker(CCB),and a diuretic at well-tolerated doses.1,2 It is reported from multiple population-based surveys that in the United States,there is an approximately 12%–15%prevalence of RH among adults diagnosed with hypertension.2 A prospective study demonstrates that 20%of people diagnosed with RH had primary hyperaldosteronism.3,4 In addition to the classic three antihypertensive drugs,spironolactone and mineralocorticoid are also administered for ***,with respect to the safety profile of spironolactone,it has been reported to have several side effects such as low testosterone production,menstrual irregularities,and excessively raised serum potassium levels,leaving the drug unfit for the longitudinal therapeutic purpose of treating RH.

关键词： hypertension drugs hypertensive

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通过确定不同的流量周期来分析生产数据的自动计算模型

通过确定不同的流量周期来分析生产数据的自动计算模型

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作者： noor ul islam 西安石油大学

学位级别：硕士

在勘探和初步改善油气藏中生产数据分析对储层评价和油藏描述至关重要。它提供了重要参数的评估,例如储层渗透率和地层损害表皮因子,用于井产能预测,以改进这些参数并计算每个流动周期的这些参数值。.本论文讨论了“通过确定不同流动周... 详细信息

在勘探和初步改善油气藏中生产数据分析对储层评价和油藏描述至关重要。它提供了重要参数的评估,例如储层渗透率和地层损害表皮因子,用于井产能预测,以改进这些参数并计算每个流动周期的这些参数值。.本论文讨论了“通过确定不同流动周期以分析生产数据的自动计算模型”来解释生产数据,从而可以自动划分流动周期并计算每个流动周期的参数。本论文还讨论了使用RTA软件进行井性能的未来预测。评估油藏的特性始终是一项艰巨的工作。使用常规方法来来实现这点非常复杂,特别是对于完全压裂的井。编程是解决测试问题的强大工具。程序是在python软件中设计的。编程分析可改进未来的石油工业。该程序可成功自动对流动周期进行划分,并自动准确地计算每个流动周期的储层参数(渗透率和表皮因子)。采用不同类型的曲线进行未来预测,并通过数值反演算法,分析流动周期和敏感因素。裂缝井的源功能和解决方案在生产数据解释中具有理论和实际应用。通过RTA软件,阿加瓦尔加德纳对时间曲线和传统递减分析理论与通过程序设计的模型进行比较。结果之间有些微差别。尽管编程模型的结果更加准确和改进。

关键词：试井分析流动期划分计算模型生产数据

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Multistage-batch bipolar membrane electrodialysis for base production from high-salinity wastewater

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Frontiers of Chemical Science and Engineering 2022年第5期16卷 764-773页

作者： Arif Hussain Haiyang Yan noor ul Afsar Chenxiao Jiang Yaoming Wang Tongwen Xu Department of Applied Chemistry Anhui Provincial Engineering Laboratory of Functional Membrane Science and TechnologySchool of Chemistry and Materials ScienceUniversity of Science and Technology of ChinaHefei 230026China

Bipolar membrane electrodialysis(BMED)is considered a state-of-the-art technology for the conversion of salts into acids and ***,the low concentration of base generated from a traditional BMED process may limit the viability of this technology for a large-scale ***,we report an especially designed multistage-batch(two/three-stage-batch)BMED process to increase the base concentration by adjusting different volume ratios in the acid(Vacid),base(Vbase),and salt compartments(Vsalt).The findings indicated that performance of the two-stage-batch with a volume ratio of Vacid:Vbase:Vsalt=1:1:5 was superior in comparison to the threestage-batch with a volume ratio of Vacid:Vbase:Vsalt=1:1:***,the base concentration could be further increased by exchanging the acid produced in the acid compartment with fresh water in the second stage-batch *** the two-stage-batch BMED,the maximum concentration of the base can be obtained up to 3.40 mol∙L^(-1),which was higher than the most reported base production by *** low energy consumption and high current efficiency further authenticate that the designed process is reliable,cost-effective,and more productive to convert saline water into valuable industrial commodities.

关键词： bipolar membrane electrodialysis multistagebatch base production high-salinity wastewater

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State of Health Estimation of LiFePO_(4) Batteries for Battery Management Systems

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Computers, Materials & Continua 2022年第11期73卷 3149-3164页

作者： Areeb Khalid Syed Abdul Rahman Kashif noor ul Ain Ali Nasir Department of Electrical Engineering University of Engineering and TechnologyLahorePakistan Department of Electrical Engineering University of Central PunjabLahorePakistan

When considering the mechanism of the batteries,the capacity reduction at storage(when not in use)and cycling(during use)and increase of internal resistance is because of degradation in the chemical composition inside the *** optimize battery usage,a battery management system(BMS)is used to estimate possible aging effects while different load profiles are requested from the *** is specifically seen in a case when the vehicle is connected to the net(online through BMS).During this process,the BMS chooses the optimized load profiles based on the least aging effects on the battery *** major focus of this paper is to design an algorithm/model for lithium iron phosphate(LiFePO4)*** model of the batteries is based on the accelerated aging test data(data from the beginning of life till the end of life).The objective is to develop an algorithm based on the actual battery trend during the whole life of the *** the analysis of the test data,the complete trend of the battery aging and the factors on which the aging is depending on is identified,the aging model can then be recalibrated to avoid any differences in the production process during cell *** validation of the model was carried out at the end by utilizing different driving profiles at different C-rates and different ambient temperatures.A Linear and non-linear model-based approach is used based on statistical *** parameterization was carried out by dividing the data into small chunks and estimating the parameters for the individual ***-adaptive characteristic map using a lookup table was also *** nonlinear model was chosen as the best candidate among all other approaches for longer validation of 8-month data with real driving data set.

关键词： Aging model state of health lithium-ion cells battery management system state of charge battery modeling

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Recent trends,challenges,and perspectives in piezoelectric-driven self-chargeable electrochemical supercapacitors

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Carbon Energy 2022年第5期4卷 833-855页

作者： Karthikeyan Krishnamoorthy Parthiban Pazhamalai Sindhuja Manoharan noor ul Haq Liyakath Ali Sang-Jae Kim Nanomaterials&System Lab Major of Mechatronics EngineeringFaculty of Applied Energy SystemJeju National UniversityJejuSouth Korea Research Institute of Energy New Industry Jeju National UniversityJejuSouth Korea Nanomaterials&System Lab Major of Mechanical System EngineeringCollege of EngineeringJeju National UniversityJejuSouth Korea

The increasing demand for wearable electronic devices has resulted in tremendous progress in research on energy harvesting and storage devices/*** storage devices require a power source to charge them,whereas energy harvesting devices require a storage compartment to store the harvested energy for sustainable ***,a piezoelectrically driven self-charging supercapacitor power cell(SCSPC)was developed to harvest and store electrical energy in a solitary system to determine the potential impact of these two types of energy devices for wearable electronic *** review describes the recent advances in piezoelectric-driven SCSPCs in terms of device configuration,piezoelectric separator,electrolyte types,electrode materials,current collectors,and system *** review focuses specifically on the principles and mechanism of the self-charging process that occurred in the SCSPCs and the use of a promising piezo electrochemical spectroscopic tool to realize the piezo electrochemical energy transfer and storage process in the ***,the current challenges and new perspectives for future developments in the emerging area of SCSPCs or integrated energy devices are discussed.

关键词： electrospinning integrated energy cell mechanical energy piezoelectric separators piezoelectrochemical spectroscopy self-charging supercapacitor power cell

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Appearance Based Dynamic Hand Gesture Recognition Using 3D Separable Convolutional Neural Network

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Computers, Materials & Continua 2023年第7期76卷 1213-1247页

作者： Muhammad Rizwan Sana ul Haq noor Gul Muhammad Asif Syed Muslim Shah Tariqullah Jan Naveed Ahmad Department of Electronics University of PeshawarPeshawar25120Pakistan Department of Electronics Engineering Korea Polytechnic UniversitySiheungKorea Department of Electrical Engineering Capital University of Science and TechnologyIslamabad44000Pakistan Department of Electrical Engineering University of Engineering and TechnologyPeshawar25120Pakistan Department of Computer Science Prince Sultan UniversityRiyadh11586Saudi Arabia

Appearance-based dynamic Hand Gesture Recognition(HGR)remains a prominent area of research in Human-Computer Interaction(HCI).Numerous environmental and computational constraints limit its real-time *** addition,the performance of a model decreases as the subject’s distance from the camera *** study proposes a 3D separable Convolutional Neural Network(CNN),considering the model’s computa-tional complexity and recognition *** 20BN-Jester dataset was used to train the model for six gesture *** achieving the best offline recognition accuracy of 94.39%,the model was deployed in real-time while considering the subject’s attention,the instant of performing a gesture,and the subject’s distance from the *** being discussed in numerous research articles,the distance factor remains unresolved in real-time deployment,which leads to degraded recognition *** the proposed approach,the distance calculation substantially improves the classification performance by reducing the impact of the subject’s distance from the ***,the capability of feature extraction,degree of relevance,and statistical significance of the proposed model against other state-of-the-art models were validated using t-distributed Stochastic Neighbor Embedding(t-SNE),Mathew’s Correlation Coefficient(MCC),and the McNemar test,*** observed that the proposed model exhibits state-of-the-art outcomes and a comparatively high significance level.

关键词： 3D separable CNN computational complexity hand gesture recognition human-computer interaction

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Extraction of protein from churpi of yak milk origin:Size reduction,nutraceutical potential and as a wall material for resveratrol

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Food Bioscience 2022年第2期46卷 900-911页

作者： Asir Gani Nairah noor Adil Gani Jenno Joseph-Leenose-Helen Asima Shah Zanoor ul Ashraf Laboratory of Functional Food and Nutraceuticals Department of Food Science and TechnologyUniversity of KashmirSrinagar190006India

Resveratrol is a known anti-oxidant and anti-cancer *** low bioavailability and poor water solubility of resveratrol is a major barrier that restricts its usage in food *** overcome these problems,the study presents micro and nano encapsulation of resveratrol in casein micelles extracted from Himalayan cheese(Churpi).Resveratrol loaded casein microparticles(CS-rm)were obtained using emulsion-freeze ***,resveratrol loaded casein nanoparticles(CS-rn)were obtained using *** were characterized using dynamic light scattering(DLS),scanning electron microscopy(SEM)and attenuated total reflectance-fourier transform infrared spectroscopy(ATR-FTIR).DLS revealed hydrodynamic diameter of 71.24μm and 387.023 nm and zeta potential of-22.62 and-28.08 mV for CS-rm and *** confirmed the characteristic peaks of resveratrol at 965.4,1380.86,1586.66 and 1607 cm-1 confirmed successful micro and ***-rm displayed high encapsulation efficiency(52.32%)and swelling power(77.90 at pH 3 and 68.65 at pH 7.5)than *** micro and nanoencapsulation protected resveratrol in gastric conditions,however,CS-rn showed high release of resveratrol then CS-rm in simulated intestinal *** anti-oxidant and anti-cancer activity of resveratrol under simulated gastric and intestinal conditions(SGID)was significantly higher(p≤0.05)for CS-rn,showing that nanoencapsulation improved release and nutraceutical profile of *** loaded nano and micro casein particles can be used a source of fortified protein supplement in growing food and nutraceutical industry.

关键词： Casein Encapsulation efficiency In vitro release Anti-cancer

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Google Scholar University Ranking Algorithm to Evaluate the Quality of Institutional Research

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Computers, Materials & Continua 2023年第6期75卷 4955-4972页

作者： noor ul Sabah Muhammad Murad Khan Ramzan Talib Muhammad Anwar Muhammad Sheraz Arshad Malik Puteri Nor Ellyza Nohuddin Department of Computer Science Government College UniversityFaisalabad 38000Pakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahore54000Pakistan Department of Software Engineering Government College UniversityFaisalabad 38000Pakistan Institute of IR4.0 Universiti Kebangsaan MalaysiaBangiSelangor43600Malaysia

Education quality has undoubtedly become an important local and international benchmark for education,and an institute’s ranking is assessed based on the quality of education,research projects,theses,and dissertations,which has always been ***,this research paper is influenced by the institutes ranking all over the *** data of institutes are obtained through Google Scholar(GS),as input to investigate the United Kingdom’s Research Excellence Framework(UK-REF)*** this purpose,the current research used a Bespoke Program to evaluate the institutes’ranking based on their *** bespoke program requires changes to improve the results by addressing these methodological issues:Firstly,Redundant profiles,which increased their citation and rank to produce false ***,the exclusion of theses and dissertation documents to retrieve the actual publications to count for ***,the elimination of falsely owned articles from scholars’*** accomplish this task,the experimental design referred to collecting data from 120 UK-REF institutes and GS for the present year to enhance its correlation analysis in this new *** data extracted from GS is processed into structured data,and afterward,it is utilized to generate statistical computations of citations’analysis that contribute to the ranking based on their *** research promoted the predictive approach of correlational ***,experimental evaluation reported encouraging results in comparison to the previous modi-fication made by the proposed *** paper discussed the limitations of the current evaluation and suggested the potential paths to improve the research impact algorithm.

关键词： Google scholar institutes ranking research assessment exercise research excellence framework impact evaluation citation data

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Nd-doped NiFe_(2)O_(4) and its composite with CNTs to tune photocatalytic activity

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Journal of Rare Earths 2023年第12期41卷 1919-1928,I0004页

作者： Fatimah Mohammed AAlzahrani Amna Irshad Sonia Zulfiqar Z.A.Alrowaili noor ul Ain Asima Anwar Muhammad Farooq Warsi M.S.Al-Buriahi Department of Chemistry CollegeofSciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabi Institute of Chemistry Baghdad-ul-Jadeed CampusThe Islamia University of BahawalpurBahawalpur6310Pakistan Department of Chemistry Faculty of ScienceUniversity of Ostrava30.Dubna 22Ostrava70103Czech Republic Department of Chemicaland Biological Engineering Iowa State UniversitySweeney Hall618 Bissll RoadAmesIowa 50011United States Department of Physics College of ScienceJouf UniversityPo.Box 2014SakakaSaudi Arabia Institute of Physics Baghdad-ul-Jadeed CampusThe Islamia University of BahawalpurBahawalpur63100Pakistan Department of Physics Sakarya UniversitySakaryaTurkey

Rare earth-doped spinel nano ferrites are attaining importance as heterogeneous nanocatalysts for the degradation of organic *** earth metal doping increases the electrical and optical properties,as well as the surface-to-volume ratio of the bare *** this work,NiFe_(2)O_(4)(NF) and Nd-NiFe_(2)O_(4)(NF-1) were successfully synthesized via the co-precipitation *** nanotubes(CNT)-based nanocomposite(NF-2) was prepared using the ultra-sonication *** prepared materials were analyzed via various physiochemical *** degradation efficiency of these materials was analyzed for the degradation of Rhodamine B,methylene blue,and benzoic acid,NF-2 shows the highest efficiency among all the prepared ***-2 shows 83.87%,90.80%,and 66.96% degradation of Rhodamine B,methylene blue,and benzoic acid,*** reason for the superior activity of NF-2 is the existence of rare earth Nd ions and *** surface area of NF increases due to the presence of carbon nanotubes and enhanced surface area provides more active sites for the degradation reaction.

关键词： XRD Carbon nanotubes Benzoic acid Photo-degradation Visible light Rare earths

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