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Rare earth-doped mixed Ni-Cu-Zn ferrites as an effective photocatalytic agent for active degradation of Rhodamine B dye

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Journal of Rare Earths 2024年第3期42卷 488-496,I0003页

作者： Swapnil A.Jadhav sandeep B.Somvanshi Sudarshan S.Gawali k.anti Zak.e k.M.Jadhav Department of Physics Dr.Babasaheb Ambedkar Marathwada UniversityAurangabad431004MaharashtraIndia School of Materials Engineering Purdue UniversityWest Lafayette 47906USA University Department of Basic and Applied Sciences MGM UniversityAurangabad431003MaharashtraIndia

In this study, a series of Gd^(3+)-doped mixed Ni-Cu-Zn ferrites with composition of Zn_(0.5)Ni_(0.3)Cu_(0.2)Fe_(2-x)Gd_(x)O_(4)(x = 0, 0.025, 0.05, 0.075, 0.1) was prepared using self-ignition sol-gel method. The prepared nanoparticles with an average size ranging from 22 to 26 nm show a single-phase cubic structure belonging to the spinel matrix. A rise in the Gd^(3+)concentration leads to an increase in crystallite size and lattice parameter. In Fourier transform infrared spectra, two main absorption bands belonging to the spinel structure are observed. The high-frequency bands(v_(1)) represent the tetrahedral complex, while the lowfrequency bands(v_(2)) signify the octahedral complex. The optical bandgap of the nanoferrites is found within the range of 2.91 to 2.41 eV, depending on their size. The magnetic characteristics of the material,such as saturation magnetization and coercivity are significantly altered with the concentration of Gd^(3+)in the solution. Using Rhodamine B(RhB) as a model organic pollutant, an in-depth investigation of the photocatalytic activity of the compounds was carried out. The present outcomes show that adding an adequate amount of Gd^(3+)significantly enhances the number of hydroxyl radicals produced by the ferrite,in turn, increasing the photocatalytic activity of the material. Mechanism elucidated by scavenger studies reveals that ·OH and holes are the primary reactive radicals responsible for the degradation *** photocatalysts show an insignificant performance loss in five consecutive cycles. Thus, it is concluded that these photocatalysts are highly suitable for the remediation of dye-contaminated wastewater.

关键词： Gd^(3+)substitution Spinel ferrite Structural properties Magnetic properties Photocatalysis Rare earths

Early Paleozoic basement diorite of arc-magmatism from k.tch basin, Western India

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Acta Geochimica 2024年第2期43卷 296-307页

作者： Piyush Gupta sandeep Singh Shak.i Singh Rathore Argha Narayan Sark.r Geochronology Laboratory KDMIPEOil and Natural Gas Corporation Ltd.9Kaulagarh RoadDehradun 248195India Department of Earth Sciences Indian Institute of TechnologyRoorkee 247667India

In this study,we report for theﬁrst time an Early Palaeozoic basement diorite from the drilled well Nirona-A in the Banni Half-Graben of the k.tch basin,western *** 40Ar–39Ar dates provided a plateau age of 441.84±2.66 Ma and another pseudo plateau of 441.28±5.82 to 388.08±16.65 Ma for the basement *** ages constrain the basement formation age to the Late Ordovician-Early Silurian *** obtained basement ages are correlatable with the later part of Cambro-Ordovician alk.line magmatism that has been reported from the Huqf area in Central Oman,whereas their lithological and petrographic correlativity with base-ment diorites occurring in the Dinsi Body of Nagar Park.r igneous complex in Pak.stan can also be *** geochemical studies characterized the diorite with enrich-ment of LILE(Rb,Ba,and k.and LREE(La,Ce,Nd),strong depletion of HFSE(Nb,Sr,P,and Ti),along with weak.y negative Eu *** geochemical signatures indicate their petrogenetic afﬁliation with mantle-derived magmas,as well as their tectonic setting to be arc-related,having post-collisional continental-arc type afﬁ****440 Ma basement of k.tch,therefore,appears to rep-resent the later thermal event associated with the rework.d Neoproterozoic subduction-related suite from Greater India’s northwest edge,which has implications for Gond-wana assembly in the northwest Indian subcontinent.

关键词： k.tch basin 40Ar–39Ar ages Early palaeozoic basement Continental-arc magmatism Calc-alk.line magmatism

On the Enhanced Power Graph of a Semigroup

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Algebra Colloquium 2024年第1期31卷 83-96页

作者： sandeep Dalal Jitender k.mart Siddharth Singh Department of Mathematics Birla Institute of Technology and Science Pilani PilaniIndia

The enhanced power graph P_(E)(S)of a semigroup S is a simple graph whose vertex set is S and two vertices a,y∈S are adjacent if and only if c,y∈(z)for some z∈S,where(z)is the subsemigroup generated by *** this paper,we first describe the structure of P_(E)(S)for an arbitrary semigroup S,and then discuss the connectedness of P_(E)(S).Further,we characterize the semigroup S in the cases when P_(E)(S)is separately a complete,bipartite,regular,tree and null *** planarity,together with the minimum degree and independence number,of P_(E)(S)is also *** chromatic number of a spanning subgraph,i.e.,the cyclic graph,of P_(E)(S)is proved to be *** the final part of this paper,we construct an example of a semigroup S such that the chromatic number of P_(E)(S)need not be countable.

关键词： monogenic semigroup completely regular semigroup planar graph enhanced powergraph

Automated Time Based Multi-Criteria Bug Triage Approach:Developer Work.ng Efficiency and Social Network.Based Developer Recommendation

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Journal of Shanghai Jiaotong university(Science) 2024年第3期29卷 566-578页

作者： YADAV Asmita SINGH k.mar sandeep k.ishna Engineering College Ghaziabad 201007India JIIT Noida 201309India

In software development projects,bugs are common *** report bugs in open source *** is a need to develop high quality developer prediction model that considers developer work.satisfaction,k.ep within limited development cost,and improve bug resolution *** address and resolve bug report as soon as possible is the main focus of triager when a new bug is ***,developer work.efficiency is an important factor in *** address these issues,a proposed approach recommends a set of developers that could potentially share their k.owledge with each other to fix new bug *** proposed approach is called developer work.ng efficiency and social network.based developer recommendation(DweSn).It is a composite model that builds developers'profile by using developer average bug fixing time,work.efficiency to fix variety of bugs,as well as the developer's social interactions with other developers.A similarity measure is applied between new bug and bugs in corpus to extract the list of capable developers from the *** proposed approach only selects those developers who are active and less loaded with *** developer with the highest profile score is assigned the *** evaluated our approach on the subset of five large open-source projects including Mozilla,Netbeans,Eclipse,Firefox and OpenOffice,and compared it with the *** results demonstrate that combination of developers'efficiency with their average bug fixing time and interactions in their social network.gives good accuracy and efficiently reduces bug tossing *** approach shows an improvement in prediction accuracy,precision,recall,F-score and reduced bug tossing length up to 93.89%,93.12%,93.46%,93.27%and 93.25%,*** proposed approach achieved a 93%hit ratio and 93.34%mean reciprocal rank.indicating that our proposed triager is able to efficiently assign bugs to correct developers.

关键词： open-source repository bug report bug assignment tossing length bug triager developer social network developer recommendation

Prediction of Geopolymer Concrete Compressive Strength Using Convolutional Neural Network.

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1455-1486页

作者： k.lli Ramujee Pooja Sadula Golla Madhu sandeep k.utish Abdulaziz S.Almazyad Guojiang Xiong Ali Wagdy Mohamed Department of Civil Engineering VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadTelangana500090India Department of Information Technology VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadTelangana500090India Department of Computer Science LBEF Campus(Asia Pacific University of Technology&InnovationMalaysia)Kathmandu44600Nepal Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Guizhou k.y Laboratory of Intelligent Technology in Power System College of Electrical EngineeringGuizhou UniversityGuiyang550025China Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmmanJordan

Geopolymer concrete emerges as a promising avenue for sustainable development and offers an effective solution to environmental *** attributes as a non-toxic,low-carbon,and economical substitute for conventional cement concrete,coupled with its elevated compressive strength and reduced shrink.ge properties,position it as a pivotal material for diverse applications spanning from architectural structures to transportation *** this context,this study sets out the task.of using machine learning(ML)algorithms to increase the accuracy and interpretability of predicting the compressive strength of geopolymer concrete in the civil engineering *** achieve this goal,a new approach using convolutional neural network.(CNNs)has been *** study focuses on creating a comprehensive dataset consisting of compositional and strength parameters of 162 geopolymer concrete mixes,all containing Class F fly *** selection of optimal input parameters is guided by two distinct *** first criterion leverages insights garnered from previous research on the influence of individual features on compressive *** second criterion scrutinizes the impact of these features within the model’s predictive *** to enhancing the CNN model’s performance is the meticulous determination of the optimal *** a systematic trial-and-error process,the study ascertains the ideal number of epochs for data division and the optimal value of k.for k.fold cross-validation—a technique vital to the model’s *** model’s predictive prowess is rigorously assessed via a suite of performance metrics and comprehensive score ***,the model’s adaptability is gauged by integrating a secondary dataset into its predictive framework.facilitating a comparative evaluation against conventional prediction *** unravel the intricacies of the CNN model’s learning trajectory,a loss plot is deployed to elucidate its learning rat

关键词： Class F fly ash compressive strength geopolymer concrete prediction deep learning convolutional neural network

Safety of tranexamic acid in surgically treated isolated spine trauma

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World Journal of Orthopedics 2024年第4期15卷 346-354页

作者： Wajiha Zahra sandeep k.ishan Nayar Ashwin Bhadresha Vinay Jasani Syed Aftab Trauma and Orthopedics Department University Hospital of North Midlands NHS TrustStoke-on-Trent ST46QGUnited Kingdom Trauma and Orthopedics Department Royal London HospitalBarts Health InstituteLondon E11BBUnited Kingdom Craniospinal Services University Hospital of North Midlands NHS TrustStokeon-Trent ST46QGUnited Kingdom Spine Department Royal London HospitalBarts Health InstituteLondon E11BBUnited Kingdom

BACk.ROUND Tranexamic acid(TXA),a synthetic antifibrinolytic drug,effectively reduces blood loss by inhibiting plasmin-induced fibrin *** is the first study in the United k.ngdom to investigate the effectiveness of TXA in the surgical management of isolated spine *** To assess the safety of TXA in isolated spine *** primary and secondary outcomes are to assess the rate of thromboembolic events and to evaluate blood loss and the incidence of blood transfusion,*** This prospective observational study included patients aged≥17 years with isolated spine trauma requiring surgical intervention over a 6-month period at two major trauma centers in the United *** We identified 67 patients:26(39%)and 41(61%)received and did not receive TXA,*** groups were matched in terms of age,gender,American Society of Anesthesiologists grade,and mechanism of injury.A higher proportion of patients who received TXA had a subaxial cervical spine injury classification or thoracolumbar injury classification score>4(74%vs 56%).All patients in the TXA group underwent an open approach with a mean of 5 spinal levels involved and an average operative time of 203 min,compared with 24 patients(58%)in the non TXA group who underwent an open approach with an average of 3 spinal levels involved and a mean operative time of 159 *** patients who received TXA,blood loss was because most surgeons prefer TXA for open or multilevel ***,larger studies are necessary to explore the rate,dosage,and mode of administration of TXA.

关键词： Tranexamic acid Infection Trauma Thromboembolic disease Minimally invasive Percutaneous

Magnesium oxide(MgO)nanoadsorbents in wastewater treatment:A comprehensive review

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Journal of Magnesium and Alloys 2024年第5期12卷 1709-1773页

作者： H.C.S.Perera V.Gurunanthanan Anoop Singh M.M.M.G.P.G.Mantilak. G.Das sandeep Arya Department of Physics Khalifa UniversityAbu Dhabi12788United Arab Emirates Postgraduate Institute of Science University of PeradeniyaPeradeniyaSri Lanka Department of Humanities and Sciences Guru Nanak Institutions Technical CampusIbrahimpatnamHyderabad501506India Centre for Global Health Research Saveetha Medical College and HospitalsSaveetha Institute of Medical and Technical SciencesChennai602105Tamil NaduIndia Department of Physics University of JammuJammu and Kashmir180006India

Wastewater contamination by heavy metals and synthetic dyes presents a significant environmental challenge,necessitating effective and sustainable separation *** review article provides a detailed examination of magnesium oxide(MgO)nanoparticles as an innovative nanoadsorbent for wastewater treatment,with a specific focus on heavy metal and dye *** review comprehensively explores various aspects of MgO nanoparticles,including their structural characteristics and synthesis *** article delves into the morphology and crystallographic arrangement of MgO nanoparticles,offering insights into their structural *** the complexity of adsorption processes,the review identifies and analyzes parameters influencing the adsorption efficiency of MgO nanoparticles,such as temperature,pH,contact time,initial concentration,and co-existing *** interplay between these parameters and the adsorption capability of MgO nanoparticles emphasizes the importance of optimizing operational ***,the review assesses various synthesis methods for MgO nanoparticles,including sol-gel,hydrothermal,precipitation,green synthesis,solvothermal,and template-assisted *** discusses the advantages,limitations,and resulting nanoparticle characteristics of each method,enabling readers to grasp the implications of synthesis processes on adsorption *** comprehensive review consolidates current insights into the effectiveness of MgO nanoparticles as a potent nanoadsorbent for removing heavy metals and dyes from wastewater covering a wide spectrum of aspects related to MgO ***,there is a need to investigate the use of MgO in the treatment of actual wastewater or river water,in order to leverage its cost-effectiveness and high efficiency for practical water treatment applications in real-time.

关键词： MgO nanoparticles Nanoadsorbent Wastewater treatment Heavy metals Dye separation Adsorption Synthesis methods

Fuzzy Difference Equations in Diagnoses of Glaucoma from Retinal Images Using Deep Learning

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 801-816页

作者： D.Dorathy Prema k.vitha L.Francis Raj sandeep k.utish Abdulaziz S.Almazyad k.ram M.Sallam Ali Wagdy Mohamed Department of Mathematics Voorhees CollegeVelloreTamil NaduIndia Chandigarh Group of Colleges JhanjeriMohaliPunjabIndia Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia Faculty of Science and Technology School of IT and SystemsUniversity of CanberraCanberraAustralia Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmman11937Jordan

The intuitive fuzzy set has found important application in decision-mak.ng and machine *** enrich and utilize the intuitive fuzzy set,this study designed and developed a deep neural network.based glaucoma eye detection using fuzzy difference equations in the domain where the retinal images *** image detections are categorized as normal eye recognition,suspected glaucomatous eye recognition,and glaucomatous eye *** degrees associated with weighted values are calculated to determine the level of concentration between the fuzzy partition and the retinal *** proposed model was used to diagnose glaucoma using retinal images and involved utilizing the Convolutional Neural Network.CNN)and deep learning to identify the fuzzy weighted regularization between *** methodology was used to clarify the input images and mak. them adequate for the process of glaucoma *** objective of this study was to propose a novel approach to the early diagnosis of glaucoma using the Fuzzy Expert System(FES)and Fuzzy differential equation(FDE).The intensities of the different regions in the images and their respective peak.levels were *** the peak.regions were identified,the recurrence relationships among those peak. were then *** partitioning was done due to varying degrees of similar and dissimilar concentrations in the *** and dissimilar concentration levels and spatial frequency generated a threshold image from the combined fuzzy matrix and *** distinguished between a normal and abnormal eye condition,thus detecting patients with glaucomatous eyes.

关键词： Convolutional Neural Network.CNN) glaucomatous eyes fuzzy difference equation intuitive fuzzy sets image segmentation retinal images

Robust Facial Biometric Authentication System Using Pupillary Light Reflex for Liveness Detection of Facial Images

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 725-739页

作者： Puja S.Prasad Adepu Sree Lak.hmi sandeep k.utish Simar Preet Singh Rajesh k.mar Shrivastava Abdulaziz S.Almazyad Hossam M.Zawbaa Ali Wagdy Mohamed CSE Department Geethanjali College of EngineeringHyderabadTelangana501301India Department of Computer Science LBEF CampusKathmandu44600Nepal School of Computer Science Engineering and Technology(SCSET) Bennett UniversityGreater Noida201310India Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityP.O.Box 51178Riyadh11543Saudi Arabia CeADAR Ireland’s Centre for AI Technological University DublinDublinD07 EWV4Ireland Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Applied Science Research Center Applied Science Private UniversityAmman11937Jordan

Pupil dynamics are the important characteristics of face spoofing *** face recognition system is one of the most used biometrics for authenticating individual *** main threats to the facial recognition system are different types of presentation attack. lik. print attack.,3D mask.attack.,replay attack.,*** proposed model uses pupil characteristics for liveness detection during the authentication *** pupillary light reflex is an involuntary reaction controlling the pupil’s diameter at different light *** proposed framework.consists of two-phase *** the first phase,the pupil’s diameter is calculated by applying stimulus(light)in one eye of the subject and calculating the constriction of the pupil size on both eyes in different video *** above measurement is converted into feature space using k.hn and Clynes model-defined *** Support Vector Machine is used to classify legitimate subjects when the diameter change is normal(or when the eye is alive)or illegitimate subjects when there is no change or abnormal oscillations of pupil behavior due to the presence of printed photograph,video,or 3D mask.of the subject in front of the *** the second phase,we perform the facial recognition ***-invariant feature transform(SIFT)is used to find the features from the facial images,with each feature having a size of a 128-dimensional *** features are scale,rotation,and orientation invariant and are used for recognizing facial *** brute force matching algorithm is used for matching features of two different *** threshold value we considered is 0.08 for good *** analyze the performance of the framework.we tested our model in two Face antispoofing datasets named Replay attack.datasets and CASIA-SURF datasets,which were used because they contain the videos of the subjects in each sample having three modalities(RGB,IR,Depth).The CASIA-SURF datasets showed an 89.9%Equal Err

关键词： SIFT pupil CASIA-SURF pupillary light reflex replay attack.dataset brute force