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Deciphering the role of rgO in tuning dielectric properties of Er_(2)O_(3)/ZnO/rgO nanocomposites synthesized via facile approach

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Journal of Rare Earths 2024年第3期42卷 578-585,I0006页

作者： Saiqa hafeez Saima Perveen Muhammad Zarrar Khan Awab Hashmi Fahad Azad School of Natural Sciences(SNS) National University of Sciences and Technology(NUST)IslamabadPakistan Electronic and Magnetic Materials Laboratory School of Chemical and Materials Engineering(SCME)National University of Sciences and Technology(NUST)IslamabadPakistan

The present research investigated the effect of reduced graphene oxide(rgO) integration with assynthesized Er_(2)O_(3)/ZnO nanocomposites on dielectric properties. The samples were characterized by Xray diffraction(XRD), Fourier transform infrared spectroscopy(FTIR), scanning electron microscopy(SEM), diffuse reflectance spectroscopy(DRS), and energy dispersive spectroscopy(EDS). Complex impedance spectroscopy was utilized to characterize dielectric relaxation phenomena in Er_(2)O_(3)/ZnO and Er_(2)O_(3)/ZnO/rgO nanocomposites. All the samples exhibit single relaxation phenomena which are ascribed to grain boundaries. The addition of rgO to Er_(2)O_(3)/ZnO nanocomposite results in the enhancement of dielectric response due to increased local field intensity caused by the formation of conductinginsulating interfaces. Furthermore, the AC conductivity of the Er_(2)O_(3)/ZnO/rgO is increased at higher frequencies due to the presence of free charge carriers in rgO. At higher frequencies, Er_(2)O_(3)/ZnO/rgO nanocomposite with increased concentration of ZnO exhibits a more stable dielectric constant with extremely low dielectric loss. Hence, the inclusion of rgO in Er_(2)O_(3)/ZnO nanocomposites makes it a novel prospective candidate in the field of energy storage devices.

关键词： Erbium oxide(Er_(2)O_(3)) Rare earths Stable dielectric constant Impedance Polarization grain boundaries

Polyhydroxyurethanes from Biobased Monomers and CO_(2):A Bridge between Sustainable Chemistry and CO_(2) Utilization

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Chinese Journal of Chemistry 2024年第6期42卷 652-685页

作者： Tharinee Theerathanagorn Tanika Kessaratikoon hafeez Ur Rehman Valerio D'Elia Daniel Crespy VISTEC Advanced Laboratory for Environment-Related Inorganic and Organic Syntheses Department of Materials Science and EngineeringVidyasirimedhi Institute of Science and Technology21210Wang ChanRayongThailand Department of Materials Science and Engineering Vidyasirimedhi Institute of Science and Technology21210Wang ChanRayongThailand

Polyhydroxyurethanes(PHUs)have received considerable attention in the last decade as potential alternatives to traditional phosgene-based polyurethanes(PUs).The development of suitable 5CC(five membered-ring cyclic carbonate)precursors bearing multiple carbonate moieties(multi-5CCs)is a key requisite for preparing PHUs by polyaddition reaction with bis-or *** sustainable PHUs from CO_(2)-based five-membered cyclic carbonates(5CCs)obtained from biobased epoxides is a valuable strategy to bridge CO_(2) utilization and the upcycling of renewable *** this context,while many multi-5CC monomers reported in the literature are oil-based,recent efforts have led to the development of a large variety of multifunctional 5CCs that are produced by the combination of CO_(2) and renewable resources such as fatty acids and vegetable oils,lignin,terpenes,and *** this work,recent crucial advances(2019—2023)on PHUs prepared from bis-and multi-5CCs produced from CO_(2) and(partially/potentially)biobased substrates are reviewed with respect to their synthesis,thermal and mechanical properties,and their recent,emerging applications.

关键词： CO_(2) conversion Polyhydroxyurethanes Cyclic carbonates Biobased compounds Fatty acids Functional polymers Monomers Renewable resources

Application of Synthetic Iron Oxyhydroxide with Influencing Factors for Removal of As(Ⅴ) and As(Ⅲ) from groundwater

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Journal of Earth Science 2024年第3期35卷 998-1009页

作者： Shakeel Ahmed Talpur Muhammad Yousuf Jat Baloch Chunli Su Javed Iqbal Aziz Ahmed hafeez Ahmed Talpur School of Environmental Studies China University of GeosciencesWuhan 430078China DiSPUTer Department of PsychologicalHealth and Territory SciencesUniversity“G.d′Annunzio”Chieti-Pescara66100 ChietiItaly College of New Energy and Environment Jilin UniversityChangchun 130021China School of Plant Environment and Soil SciencesLouisiana State University Agricultural CentreBaton Rouge LA 70803USA Department od Engineering and geology University“G.d′Annunzio”Chieti-Pescara66100 ChietiItaly

Synthesized iron oxyhydroxide was applied for the adsorptive removal of As(V)and As(III)from the aquas ***,this investigation highlighted the synergistic effect of calcium carbonate in conjunction with iron oxyhydroxide,resulting in enhanced removal *** experiment was conducted under various conditions:concentration,dosage,pH,agitation,and *** characterizations such as Brunauer Emmett Teller,X-ray diffraction,scanning electron microscopy,and Fourier transform infrared spectroscopy were implied to understand adsorption *** Langmuir model revealed optimal concentrations for As(V)=500μg/L at pH-5 and As(III)=200μg/L at pH-7,resulting in 95%and 93%adsorption efficiencies,*** adsorption capacities“qm”were found to be 1266.943μg/g for As(V)and 1080.241μg/g for As(III).Freundlich model demonstrated favorable adsorption by indicating“n>1”such as As(V)=2.542 and As(III)=2.707;similarly,the speciation factor“RLg throughout chemisorption processes for removing As(V)and As(III).Furthermore,incorporating calcium carbonate presented a significant leap in the removal efficiency,indicating As(V)from 95%to 98%and As(III)from 93%to 96%,*** findings offer profound motivation for developing effective and sustainable solutions to tackle arsenic contamination,underscoring the exceptional promise of iron oxyhydroxide in conjunction with calcium carbonate to achieve maximum removal efficiency.

关键词： adsorption arsenic As(V) As(III) iron oxyhydroxide isotherms kinetics groundwater.

Towards Improving the Quality of Requirement and Testing Process in Agile Software Development:An Empirical Study

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Computers, Materials & Continua 2024年第9期80卷 3761-3784页

作者： Irum Ilays Yaser hafeez Nabil Almashfi Sadia Ali Mamoona Humayun Muhammad Aqib ghadah Alwakid University Institute of Information Technology Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindi46000Pakistan Department of Software Engineering College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia School of Arts Humanities and Social Sciences University of RoehamptonLondonSW155PJUK Department of Computer Science College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia

Software testing is a critical phase due to misconceptions about ambiguities in the requirements during specification,which affect the testing ***,it is difficult to identify all faults in *** requirement changes continuously,it increases the irrelevancy and redundancy during *** to these challenges;fault detection capability decreases and there arises a need to improve the testing process,which is based on changes in requirements *** this research,we have developed a model to resolve testing challenges through requirement prioritization and prediction in an agile-based *** research objective is to identify the most relevant and meaningful requirements through semantic analysis for correct change *** compute the similarity of requirements through case-based reasoning,which predicted the requirements for reuse and restricted to error-based ***,the apriori algorithm mapped out requirement frequency to select relevant test cases based on frequently reused or not reused test cases to increase the fault detection ***,the proposed model was evaluated by conducting *** results showed that requirement redundancy and irrelevancy improved due to semantic analysis,which correctly predicted the requirements,increasing the fault detection rate and resulting in high user *** predicted requirements are mapped into test cases,increasing the fault detection rate after changes to achieve higher user ***,the model improves the redundancy and irrelevancy of requirements by more than 90%compared to other clustering methods and the analytical hierarchical process,achieving an 80%fault detection rate at an earlier ***,it provides guidelines for practitioners and researchers in the modern *** the future,we will provide the working prototype of this model for proof of concept.

关键词： Requirement prediction software testing agile software development semantic analysis case-based reasoning

Enhancing Secure Development in globally Distributed Software Product Lines: A Machine Learning-Powered Framework for Cyber-Resilient Ecosystems

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Computers, Materials & Continua 2024年第6期79卷 5031-5049页

作者： Marya Iqbal Yaser hafeez Nabil Almashfi Amjad Alsirhani Faeiz Alserhani Sadia Ali Mamoona Humayun Muhammad Jamal University Institute of Information Technology PMAS-Arid Agriculture UniversityRawalpindiPakistan Department of Software Engineering College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia Department of Computer Science College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia Department of Computer Engineering&Networks College of Computer and Information SciencesJouf UniversityAl Jouf72388Saudi Arabia Department of Information Systems College of Computer and Information SciencesJouf UniversitySakakaAl Jouf72388Saudi Arabia Department of Mathematics Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindiPakistan

Embracing software product lines(SPLs)is pivotal in the dynamic landscape of contemporary software ***,the flexibility and global distribution inherent in modern systems pose significant challenges to managing SPL variability,underscoring the critical importance of robust cybersecurity *** paper advocates for leveraging machine learning(ML)to address variability management issues and fortify the security of *** the context of the broader special issue theme on innovative cybersecurity approaches,our proposed ML-based framework offers an interdisciplinary perspective,blending insights from computing,social sciences,and ***,it employs ML for demand analysis,dynamic feature extraction,and enhanced feature selection in distributed settings,contributing to cyber-resilient *** experiments demonstrate the framework’s superiority,emphasizing its potential to boost productivity and security in *** digital threats evolve,this research catalyzes interdisciplinary collaborations,aligning with the special issue’s goal of breaking down academic barriers to strengthen digital ecosystems against sophisticated attacks while upholding ethics,privacy,and human values.

关键词： Machine Learning variability management cybersecurity digital ecosystems cyber-resilience

A Robust Method of Bipolar Mental Illness Detection from Facial Micro Expressions Using Machine Learning Methods

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Intelligent Automation & Soft Computing 2024年第1期39卷 57-71页

作者： ghulam gilanie Sana Cheema Akkasha Latif AnumSaher Muhammad Ahsan hafeez Ullah Diya Oommen Department of Artificial Intelligence Faculty of ComputingThe Islamia University of BahawalpurBahawalpur63100Pakistan Biophotonics Imaging Techniques Laboratory Institute of PhysicsThe Islamia University of BahawalpurBahawalpur63100Pakistan West High School Salt Lake CityUT84103USA

Bipolar disorder is a serious mental condition that may be caused by any kind of stress or emotional upset experienced by the *** affects a large percentage of people globally,who fluctuate between depression and mania,or vice versa.A pleasant or unpleasant mood is more than a reflection of a state of ***,it is a difficult task to analyze through physical examination due to a large patient-psychiatrist ratio,so automated procedures are the best options to diagnose and verify the severity of *** this research work,facial microexpressions have been used for bipolar detection using the proposed Convolutional Neural Network(CNN)-based *** Action Coding System(FACS)is used to extract micro-expressions called Action Units(AUs)connected with sad,happy,and angry *** have been conducted on a dataset collected from Bahawal Victoria Hospital,Bahawalpur,Pakistan,Using the Patient Health Questionnaire-15(PHQ-15)to infer a patient’s mental *** experimental results showed a validation accuracy of 98.99%for the proposed CNN modelwhile classification through extracted featuresUsing SupportVectorMachines(SVM),K-NearestNeighbour(KNN),and Decision Tree(DT)obtained 99.9%,98.7%,and 98.9%accuracy,***,the outcomes demonstrated the stated method’s superiority over the current best practices.

关键词： Bipolar mental illness detection facial micro-expressions facial landmarked images

Rice-wheat comparative genomics:gains and gaps

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The Crop Journal 2024年第3期12卷 656-669页

作者： Akila Wijerathna-Yapa Ruchi Bishnoi Buddhini Ranawaka Manu Maya Magar hafeez Ur Rehman Swati g.Bharad Michal T.Lorenc Vinita Ramtekey Sasha gohar Charu Lata Md.Harun-Or-Rashid Maryam Razzaq Muhammad Sajjad Bhoja *** School of Agriculture and Food Sustainability The University of QueenslandSt LuciaQLD 4072Australia ARC Centre of Excellence for Plant Success in Nature and Agriculture The University of QueenslandSt LuciaQLD 4072Australia Department of genetics and Plant Breeding College of AgricultureUmmedganj-KotaAgriculture UniversityKotaRajasthan 324001India Centre for Agriculture and the Bioeconomy Queensland University of Technology(QUT)2 George StreetBrisbaneQLD 4000Australia UWA School of Agriculture and Environment The University of Western Australia35 Stirling HighwayCrawleyWA 6009Australia Nepal Agriculture Research Council KhumaltarLalitpurNepal Department of Agronomy University of AgricultureFaisalabad 38040Pakistan Department of Agricultural Botany Dr Panjabrao Deshmukh Krishi VidyapeethAkola 444104MaharashtraIndia ICAR-Indian Institute of Seed Science MauUttar Pradesh 275103India School of Natural Sciences Macquarie UniversityMacquarie ParkNSW 2109Australia ICAR-Indian Institute of Wheat and Barley Research Flowrdale 54642ShimlaIndia International Maize and Wheat Improvement Center(CIMMYT)Bangladesh Office Gulshan-2Dhaka 1212Bangladesh Center for Seed Science University of AgricultureFaisalabad 38000Pakistan Department of Biosciences COMSATS University IslamabadPark RoadTarlai KalanIslamabad 45550Pakistan CgIAR’s Excellence in Breeding(EiB)Platform/Accelerated Breeding Initiative International Maize and Wheat Improvement Center(CIMMYT)El Batán 56237Mexico

Rice and wheat provide nearly 40%of human calorie and protein *** share a common ancestor and belong to the Poaceae(grass)*** their genetic homology is crucial for developing new cultivars with enhanced *** wheat genes and gene families have been characterized based on their rice ***–wheat orthology can identify genetic regions that regulate similar traits in both ***–wheat comparative genomics can identify candidate wheat genes in a genomic region identified by association or QTL mapping,deduce their putative functions and biochemical pathways,and develop molecular markers for marker-assisted breeding.A knowledge of gene homology facilitates the transfer between crops of genes or genomic regions associated with desirable traits by genetic engineering,gene editing,or wide crossing.

关键词： Comparative genomics Orthologs genes Synteny genetic engineering Molecular breeding

施氮量对旱地小麦花后糖代谢及籽粒产量的影响

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山东农业科学 2024年第4期56卷 81-86页

作者：韩柏岳任爱霞 hafeez Noor 古丽刚孙敏山西省农业技术推广总站山西太原030000 山西农业大学农学院山西晋中030801 祁县城赵镇农业技术推广站山西祁县030900 山西农业大学农学院/省部共建有机旱作农业国家重点实验室(筹) 山西太原030031

施用氮肥为当前农业增产措施之一,适量施用对小麦产量形成具有重要意义。本试验于2020—2021年在位于黄土高原东南部的山西农业大学小麦试验站开展,设置施氮(N)0 kg/hm^(2)(N0)、90 kg/hm^(2)(N90)、150 kg/hm^(2)(N150)、210 kg/hm^(2)... 详细信息

施用氮肥为当前农业增产措施之一,适量施用对小麦产量形成具有重要意义。本试验于2020—2021年在位于黄土高原东南部的山西农业大学小麦试验站开展,设置施氮(N)0 kg/hm^(2)(N0)、90 kg/hm^(2)(N90)、150 kg/hm^(2)(N150)、210 kg/hm^(2)(N210)共4个处理,采用池栽方式研究不同施氮量对旱地小麦地上部生长、花后糖代谢及产量等的影响,以探明提高产量的适宜施氮量及其糖代谢生理机制。结果表明,与对照(N0)相比,施氮肥可显著增加旱地小麦各生育时期株高,增加叶面积指数和花后旗叶蔗糖合成酶(SS)、蔗糖磷酸合成酶(SPS)活性,且花后15~30 d间差异达显著水平;产量及其构成因素中,产量增加13.45%~42.18%,穗数增加7.68%~22.33%,穗粒数增加2.14%~3.45%,千粒重增加2.48%~13.54%;总淀粉含量增加1.8~8.8个百分点,尤以支链淀粉含量增加显著。从动态趋势上看,施氮量由90 kg/hm^(2)增至210 kg/hm^(2),各生育时期小麦叶面积指数、花后10~30 d旗叶SPS和SS活性、花后10~30 d籽粒淀粉含量均先增后减,且在施氮量150 kg/hm^(2)时达最高值。最终,旱地小麦产量以N150处理最高,而淀粉含量以N210处理最高,但与N150差异不显著。综上,施氮量150 kg/hm^(2)促进旱地小麦地上部生长,增强花后10~30 d旗叶糖代谢酶活性,增加蔗糖和淀粉含量,增产效果最好。

关键词：旱地小麦氮肥糖代谢产量淀粉

Exosomes derived from tumor adjacent fibroblasts efficiently target pancreatic tumors

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Acta Pharmaceutica Sinica B 2024年第7期14卷 3009-3026页

作者： Saini Setua Shabia Shabir Poornima Shaji Ana Martinez Bulnes Anupam Dhasmana Swathi Holla Nivesh K.Mittal Nirakar Sahoo Tripti Saini Francesco giorgianni Mohammad Sikander Andrew E.Massey Bilal B.hafeez Manish K.Tripathi Vincent P.Diego Meena Jaggi Junming Yue Nadeem Zafar Murali M.Yallapu Stephen W.Behrman Sheema Khan Subhash C.Chauhan Department of Pharmaceutical Sciences College of Pharmacyand College of MedicineUniversity of Tennessee Health Science Center(UTHSC)MemphisTN 36163USA Department of Computer Science Islamic University of Science and TechnologyAwantiporaJ&K 192122India Department of Immunology and Microbiology School of MedicineUniversity of Texas Rio Grande ValleyMcAllenTX 78504USA South Texas Center of Excellence in Cancer Research School of Medicinethe University of Texas Rio Grande ValleyMcAllenTX 78504USA Himalayan School of Biosciences and Cancer Research Institute Himalayan Institute of Medical SciencesSwami Rama Himalayan UniversityDehradun 248016India Plough Center for Sterile Drug Delivery Solutions UTHSCMemphisTN 38104USA Department of Biology College of SciencesUTRGVMcAllenTX 78539USA National Institute of Biomedical Imaging and Bioengineering(NIBIB) National Institutes of HealthBethesdaMD 20892USA South Texas Diabetes and Obesity Institute UTRGVMcAllenTX 78504USA Dept.of Laboratory Medicine&Pathology University of WashingtonSeattleWA 98195USA Department of Surgery Baptist Memorial Medical EducationBaptist Memorial HospitalMemphisTN 38120USA Baptist Health Sciences University MemphisTN 38104USA

The application of extracellular vesicles,particularly exosomes(EXs),is rapidly expanding in the field of medicine,owing to their remarkable properties as natural carriers of biological *** study investigates utilization of exosomes derived from stromal cells of tumor adjacent normal tissues(NAF-EXs)for personalized medicine,which can be derived at the time of diagnosis by endoscopic ***,we show that exosomes(EXs)derived from NAFs demonstrate differential bio-physical characteristics,efficient cellular internalization,drug loading efficiency,pancreatic tumor targeting and delivery of ***-derived EXs(NAF-EXs)were used for loading ormeloxifene(ORM),a potent anti-cancer and desmoplasia inhibitor as a model *** found that ORM maintains normal fibroblast cell phenotype and renders them incompatible to be triggered for a CAF-like phenotype,which may be due to regulation of Ca^(2+) influx in fibroblast ***-EXs-ORM effectively blocked oncogenic signaling pathways involved in desmoplasia and epithelial mesenchymal transition(EMT)and repressed tumor growth in xenograft mouse *** conclusion,our data suggests preferential tropism of NAF-EXs for PDAC tumors,thus imply feasibility of developing a novel personalized medicine for PDAC patients using autologous NAF-EXs for improved therapeutic outcome of anti-cancer ***,it provides the opportunity of utilizing this biological scaffold for effective therapeutics in combination with standard therapeutic regimen.

关键词： Pancreatic cancer Tumor adjacent normal tissue fibroblasts(NAF) Desmoplasia Extracellular vesicles Exosomes Tumor targeting Ormeloxifene Personalized medicine