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Performance Improvement of Kenaf/Glass Polymer Hybrid Composites by Effective Application of Fish Scale Powder as Filler:A Novel Approach

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Journal of Harbin Institute of Technology(New Series) 2024年第3期31卷 80-96页

作者： Chandrakanta Mishra Deepak Kumar Mohapatra Chitta Ranjan Deo Chetana Tripathy kiran Kumar Ekka Department of Mechanical Engineering Veer Surendra Sai University of TechnologySambalpur 768018OdishaIndia

Modern technology for developing new items made from renewable resources is becoming more and more popular as a result of rising environmental ***,contemporary polymer composites have included the hybridization of natural fibers with synthetic ones,along with the inclusion of a variety of biowaste filler for developing sustainable *** this work,the kenaf/glass hybrid polyester composites are strengthened by the addition of fish scale(FS),which is taken from the fish􀆳s outermost layer of *** different stacked-order laminates,such as KKKK,KGKG,GKKG,KGGK,and GGGG,are fabricated by using the hand lay-up method with four different weight concentrations of filler content:0%,5%,10%,and 15%.Mechanical possessions such as tensile,flexural,impact strength and micro-hardness have been evaluated through experimentation in accordance with ASTM *** experimental findings revealed that,the tensile strength and micro-hardness value of KGKG laminates with 15wt% of FS filler are found to be maximum of 118.72 MPa and 17.82 HV respectively which are 39.67%and 26.11%greater than that of KGKG laminates without FS ***,the flexural and impact strength of same laminates with 10 wt% FS filler exhibited a maximum value of 142.77 MPa and 62.08 kJ/m^(2).In order to corroborate its applicability for structural and building materials in open environment,the dimensional stability of the composite has been studied through moisture absorption *** influences of FS filler loading on dimensional stability and resistance to moisture absorption capacity of laminates are also *** experimental results reflected that the addition of FS-filler has significantly improved the dimensional stability of the laminates in moist environment by reducing the moisture absorption *** further support the mode of failures,a fractography investigation of fractured surfaces was conducted.

关键词： fish scale fiber polyester hybrid composites mechanical properties

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Autologous hematopoietic stem cell transplantation conditioning regimens and chimeric antigen receptor T cell therapy in various diseases

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World Journal of Transplantation 2024年第1期14卷 32-41页

作者： Shahzaib Maqbool Maryam Farhan Baloch Muhammad Abdul Khaliq Khan Azeem Khalid kiran Naimat Department of Medicine Holy Family HospitalRawalpindi 46000Pakistan Department of Community Medicine Allama Iqbal Medical CollegeLahore 45000Pakistan Department of Community Dentistry Baqai Medical UniversityKarachi 43000Pakistan Department of Medicine Allama lqbal Medical CollegeLahore 45000Pakistan Department of MedicineLiaquat University of Medical and Health Sciences Karachi 43000Pakistan

Conditioning regimens employed in autologous stem cell transplantation have been proven useful in various hematological disorders and underlying malignancies;however,despite being efficacious in various instances,negative consequences have also been *** conditioning regimens were extracted from various literature searches from databases like PubMed,Google scholar,EMBASE,and *** regimens for each disease were compared by using various end points such as overall survival(OS),progression free survival(PFS),and leukemia free survival(LFS).Variables were presented on graphs and analyzed to conclude a more efficacious conditioning *** multiple myeloma,the most effective regimen was high dose melphalan(MEL)given at a dose of 200/mg/*** comparative results of acute myeloid leukemia were presented and the regimens that proved to be at an admirable position were busulfan(BU)+MEL regarding OS and BU+VP16 regarding *** case of acute lymphoblastic leukemia(ALL),BU,fludarabine,and etoposide(BuFluVP)conferred good disease control not only with a paramount improvement in survival rate but also low risk of ***,for ALL,chimeric antigen receptor(CAR)T cell therapy was preferred in the context of better OS and *** respect to Hodgkin’s lymphoma,mitoxantrone(MITO)/MEL overtook carmustine,VP16,cytarabine,and MEL in view of PFS and vice versa regarding ***-Hodgkin’s lymphoma patients were administered MITO(60 mg/m2)and MEL(180 mg/m2)which showed promising ***,amyloidosis was considered,and the regimen that proved to be competent was MEL 200(200 mg/m2).This review article demonstrates a comparison between various conditioning regimens employed in different diseases.

关键词： Conditioning regimens Multiple myeloma Lymphoma Hodgkin Non-Hodgkin Acute leukemia

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Enhanced Wideband Frequency Estimation via FFT: Leveraging Polynomial Interpolation and Array Indexing

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Journal of Computer and Communications 2024年第1期12卷 35-48页

作者： kiran Jayarama Chien-In Henry Chen Digital Receiver Laboratory Department of Electrical Engineering Wright State University Dayton OH USA

Accurate frequency estimation in a wideband digital receiver using the FFT algorithm encounters challenges, such as spectral leakage resulting from the FFT’s assumption of signal periodicity. High-resolution FFTs pose computational demands, and estimating non-integer multiples of frequency resolution proves exceptionally challenging. This paper introduces two novel methods for enhanced frequency precision: polynomial interpolation and array indexing, comparing their results with super-resolution and scalloping loss. Simulation results demonstrate the effectiveness of the proposed methods in contemporary radar systems, with array indexing providing the best frequency estimation despite utilizing maximum hardware resources. The paper demonstrates a trade-off between accurate frequency estimation and hardware resources when comparing polynomial interpolation and array indexing.

关键词： Scalloping Loss Goertzel’s Algorithm Super-Resolution Fast Fourier Transform (FFT) Decimation in Frequency (DIF) Decimation in Time (DIT) Spectral Leakage Frequency Estimation

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Enhancing disaster management effectiveness: An integrated analysis of keyfactors and practical strategies through Structural Equation Modeling (SEM)and scopus data text mining

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Geohazard Mechanics 2024年第2期2卷 95-107页

作者： Samuel Mores Geddam C.A.Raj kiran St Joseph's University BengaluruIndia

In the 21st century, the surge in natural and human-induced disasters necessitates robust disaster managementframeworks. This research addresses a critical gap, exploring dynamics in the successful implementation andperformance monitoring of disaster management. Focusing on eleven key elements like Vulnerability and RiskAssessment, Training, Disaster Preparedness, Communication, and Community Resilience, the study utilizesScopus Database for secondary data, employing Text Mining and MS-Excel for analysis and data *** SPSS (26) and IBM AMOS (20) facilitate Exploratory Factor Analysis (EFA) and Structural Equation Modeling(SEM) for model *** research raises questions about crafting a comprehensive, adaptable model, understanding the interplaybetween vulnerability assessment, training, and disaster preparedness, and integrating effective communicationand collaboration. Findings offer actionable insights for policy, practice, and community resilience against disasters. By scrutinizing each factor's role and interactions, the research lays the groundwork for a ﬂexible ***, the study aspires to cultivate more resilient communities amid the escalating threats of an unpredictable world, fostering effective navigation and thriving.

关键词： Disaster Management Structural Equation Modeling(SEM) Text Mining Scopus Data Exploratory Factor Analysis(EFA)

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Hybrid Scalable Researcher Recommendation System Using Azure Data Lake Analytics

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Journal of Data Analysis and Information Processing 2024年第1期12卷 76-88页

作者： Dinesh Kalla Nathan Smith Fnu Samaah kiran Polimetla Department of Doctoral Studies Colorado Technical University Colorado Springs CO USA Department of Computer Science Harrisburg University of Science and Technology Harrisburg PA USA Adobe Technology Service (ATS) Department Adobe San Jose CA USA

This research paper has provided the methodology and design for implementing the hybrid author recommender system using Azure Data Lake Analytics and Power BI. It offers a recommendation for the top 1000 Authors of computer science in different fields of study. The technique used in this paper is handling the inadequate Information for citation;it removes the problem of cold start, which is encountered by very many other recommender systems. In this paper, abstracts, the titles, and the Microsoft academic graphs have been used in coming up with the recommendation list for every document, which is used to combine the content-based approaches and the co-citations. Prioritization and the blending of every technique have been allowed by the tuning system parameters, allowing for the authority in results of recommendation versus the paper novelty. In the end, we do observe that there is a direct correlation between the similarity rankings that have been produced by the system and the scores of the participant. The results coming from the associated scrips of analysis and the user survey have been made available through the recommendation system. Managers must gain the required expertise to fully utilize the benefits that come with business intelligence systems [1]. Data mining has become an important tool for managers that provides insights about their daily operations and leverage the information provided by decision support systems to improve customer relationships [2]. Additionally, managers require business intelligence systems that can rank the output in the order of priority. Ranking algorithm can replace the traditional data mining algorithms that will be discussed in-depth in the literature review [3].

关键词： Azure Data Lake U-SQL Author Recommendation System Power BI Microsoft Academic Big Data Word Embedding

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Identification of galectin-3 as a novel potential prognostic/predictive biomarker and therapeutic target for cerebral cavernous malformation disease

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Genes & Diseases 2024年第1期11卷 67-71页

作者： Souvik Kar Andrea Perrelli kiran Kumar Bali Raffaella Mastrocola Arpita Kar Bushra Khan Luis Gand Arnab Nayak Christian Hartmann Wolfram SKunz Amir Samii Helmut Bertalanffy Saverio Francesco Retta International Neuroscience Institute Rudolf-PichlmayrStrasse 4Hannover 30625Germany Department of Clinical and Biological Sciences University of TorinoOrbassano(TO)10043Italy CCM Italia Research Network National Coordination Center at the Department of Clinical and Biological SciencesUniversity of TorinoOrbassano(TO)10043Italy Department of Experimental Pain Research Mannheim Center for Translational Neuroscience(MCTN)Medical Faculty MannheimHeidelberg UniversityMannheim 68167Germany Department of Kidney Liver and Metabolic DiseasesChildren’s HospitalHannover Medical SchoolHannover 30625Germany Ricarda-Huch-Street-10B Hannover 30880Germany Institute of Molecular and Cell Physiology Hannover Medical SchoolHannover 30625Germany Department of Neuropathology Institute of PathologyHannover Medical SchoolHannover 30625Germany Institute of Experimental Epileptology and Cognition Research and Department of Epileptology University Hospital BonnVenusberg-Campus 1Bonn 53127Germany epartment of Pharmacology and Physiology University of Rochester Medical CenterRochesterNY 14642USA

cerebrovascular disease of genetic origin characterized by abnormally dilated capillaries and a wide spectrum of symptoms,including headaches,seizures,neurological deficits,and intracerebral *** unpredictable clinical course and the current lack of therapies make the identification of prognostic and predictive biomarkers an imperative research challenge.1 Herein,we provide evidence that galectin-3(Gal-3),a major tissue and circulating biomarker of oxidative stress and inflammation,is significantly up-regulated both in CCM patients and ***,wholetranscriptome sequencing,qRT-PCR,and Western blotting studies demonstrated a significant up-regulation of Gal-3 expression levels both in surgical CCM specimens and in blood samples of CCM patients.

关键词： inflammation cerebral dilated

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Circular RNA: The evolving potential in the disease world

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World Journal of Medical Genetics 2024年第1期12卷 1-16页

作者： Aarti Sharma Cherry Bansal kiran Lata Sharma Ashok Kumar Department of Research Mayo Clinic ArizonaPhoenixAZ 85054United States Department of Pathology Dr.S Tantia Medical CollegeHospital and Research CenterSri Ganganagar 335002RajasthanIndia Department of Pathology Baylor College of MedicineHoustonTX 77030United States Department of Surgical Gastroenterology Sanjay Gandhi Post Graduate Institute of Medical SciencesLucknow 226014Uttar PradeshIndia

Circular RNAs(circRNAs),a new star of noncoding RNAs,are a group of endogenous RNAs that form a covalently closed circle and occur widely in the mammalian *** circRNAs are conserved throughout species and fre-quently show stage-specific expression during various stages of tissue *** were a mystery discovery,as they were initially believed to be a product of splicing errors;however,subsequent research has shown that ci-rcRNAs can perform various functions and help in the regulation of splicing and transcription,including playing a role as microRNA(miRNA)*** the application of high throughput next-generation technologies,circRNA hotspots were *** are emerging indications that explain the association of circRNAs with human diseases,like cancers,developmental disorders,and in-flammation,and circRNAs may be a new potential biomarker for the diagnosis and treatment outcome of various diseases,including *** the discoveries of miRNAs and long noncoding RNAs,circRNAs are now acting as a novel re-search entity of interest in the field of RNA disease *** this review,we aim to focus on major updates on the biogeny and metabolism of circRNAs,along with their possible/established roles in major human diseases.

关键词： Circular RNAs Cancer MicroRNA sponges Biomarkers Long noncoding RNA RNA biology

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Clinical profile and risk factors of symptomatic and asymptomatic hypoglycemia in neonates admitted to NICU in a tertiary care center: A cross-sectional study

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Journal of Acute Disease 2024年第1期13卷 31-35页

作者： kiran Bhojraj Bhaisare Shivprasad Kachrulal Mundada Nehal Bharat Shah Vilasrao Deshmukh Government Medical College LaturIndia

Objective:To investigate the clinical profile and risk factors of symptomatic and asymptomatic hypoglycemia in neonates admitted to a neonatal intensive care unit in a tertiary care ***:The prospective observational study was conducted in a tertiary care center in the Specialty Department of Pediatric.196 Newborn babies with blood glucose levels<45 mg/dL were examined with a simple random sampling method between December 2019 and November *** and neonatal risk factors and clinical signs were recorded and compared between symptomatic and asymptomatic ***:The proportion of symptomatic hypoglycemia neonates born to gestational diabetes mellitus mothers was significantly higher(23.4%vs.8.4%)(P<0.05).Small for gestational age,low birth weight,respiratory distress syndrome,hypothermia,and endocrine disorders were risk *** death rate in asymptomatic hypoglycemia neonates was significantly higher(58%vs.39%)(P<0.05).Conclusions:The study indicates that maternal gestational diabetes mellitus is associated with symptomatic hypoglycemia and asymptomatic hypoglycemia is associated with neonatal *** is important to take vigilance and timely interventions to address associated symptoms,particularly poor feeding,in the management of neonatal hypoglycemia.

关键词： Hypoglycemia Neonatal diabetes Symptomatic Asymptomatic Newborns hypoglycemia Diabetic infants Prevalence

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Nonlinear Rydberg exciton-polaritons in Cu2O microcavities

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Light(Science & Applications) 2024年第4期13卷 619-627页

作者： Maxim Makhonin Anthonin Delphan Kok Wee Song Paul Walker Tommi Isoniemi Peter Claronino Konstantinos Orfanakis Sai kiran Rajendran Hamid Ohadi Julian Heckötter Marc Assmann Manfred Bayer Alexander Tartakovskii Maurice Skolnick Oleksandr Kyriienko Dmitry Krizhanovskii Department of Physics and Astronomy University of SheffieldSheffield S37RHUK. Department of Physics and Astronomy University of ExeterStocker RoadExeter EX44PYUK. SUPA School of Physics and AstronomyUniversity of St AndrewsSt Andrews KY169SSUK. Fakultät Physik TU DortmundAugust-Schmidt-Straße 444227 DortmundGermany

Rydberg excitons(analogues of Rydberg atoms in condensed matter systems)are highly excited bound electron-hole states with large Bohr *** interaction between them as well as exciton coupling to light may lead to strong optical nonlinearity,with applications in sensing and quantum information ***,we achieve strong effective photon–photon interactions(Kerr-like optical nonlinearity)via the Rydberg blockade phenomenon and the hybridisation of excitons and photons forming polaritons in a Cu2O-filled *** pulsed resonant excitation polariton resonance frequencies are renormalised due to the reduction of the photon-exciton coupling with increasing exciton *** analysis shows that the Rydberg blockade plays a major role in the experimentally observed scaling of the polariton nonlinearity coefficient as∝n4.4±1.8 for principal quantum numbers up to n=*** high principal quantum numbers studied in a polariton system for the first time are essential for realisation of high Rydberg optical nonlinearities,which paves the way towards quantum optical applications and fundamental studies of strongly correlated photonic(polaritonic)states in a solid state system.

关键词： density Rydberg polar

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FMHADP: Design of an Efficient Pre-Forensic Layer for Mitigating Hybrid Attacks via Deep Learning Pattern Analysis

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Journal of Harbin Institute of Technology(New series) 2024年

作者： Meesala Sravani B kiran Kumar M Rekha Sundari D Tejaswi Department of Computer Science and Engineering， GMR Institute of Technology Information Technology， Anil Neerukonda Institute of Technology & Science(Autonomous)

Network attack detection and mitigation require packet collection， pre-processing， feature analysis， classification， and post-processing. Models for these tasks sometimes become complex or inefficient when applied to real-time data samples. To mitigate hybrid assaults， this study designs an efficient forensic layer employing deep learning pattern analysis and multidomain feature extraction. In this paper， we provide a novel multidomain feature extraction method using Fourier， Z， Laplace， Discrete Cosine Transform (DCT)， 1D Haar Wavelet， Gabor， and Convolutional Operations. Evolutionary method dragon fly optimisation reduces feature dimensionality and improves feature selection accuracy. The selected features are fed into VGGNet and GoogLeNet models using binary cascaded neural networks to analyse network traffic patterns， detect anomalies， and warn network administrators. The suggested model tackles the inadequacies of existing approaches to hybrid threats， which are growing more common and challenge conventional security measures. Our model integrates multidomain feature extraction， deep learning pattern analysis， and the forensic layer to improve intrusion detection and prevention systems. In diverse attack scenarios， our technique has 3.5% higher accuracy， 4.3% higher precision， 8.5% higher recall， and 2.9% lower delay than previous models.

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