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Multiplicity dependence of the freezeout parameters in high energy hadron-hadron collisions

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Chinese Physics C 2024年第5期48卷 124-133页

作者： Muhammad Ajaz Majid shehzad Muhammad Waqas Haifa I.Alrebdi mohammad Ayaz Ahmad Antalov Jagnandan shawn Jagnandan Murad Badshah Jalal hasan Baker Abdul Mosawir Quraishi Department of Physics Abdul Wali Khan University MardanMardan 23200Pakistan school of Mathematics Physics and Optoelectronic EngineeringHubei University of Automotive TechnologyShiyan 442002China Department of Physics College of SciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia Department of Mathematics Physics and StatisticsFaculty of Natural SciencesUniversity of Guyana101110 GeorgetownGuyananSouth America Department of Physics Faculty of ScienceUniversity of TabukTabukKingdom of Saudi Arabia Department of Electrical Engineering College of EngineeringQassim UniversityUnaizahSaudi Arabia

We examined the transverse momentum(pT)spectra of various identified particles,encompassing both light-flavored and strange hadrons(π++π−,K++K−,p+p¯,ϕ,K0s,Λ+Λ¯,Ξ−+Ξ¯+,andΩ−+Ω¯+),across different multiplicity classes in proton-proton collisions(p-p)at a center-of-mass energy of s√=7 *** the Tsallis and Hagedorn models,parameters relevant to the bulk properties of nuclear matter were *** models exhibit good agreement with experimental *** our analyses,we observed a consistent decrease in the effective temperature(T)for the Tsallis model and the kinetic or thermal freeze-out temperature(T0)for the Hagedorn model,as we transitioned from higher multiplicity(class-I)to lower multiplicity(class-X).This trend is attributed to the diminished energy transfer in higher multiplicity ***,we observed that the transverse flow velocity(βT)experiences a decline from class-I to *** normalization constant,which represents the multiplicity of produced particles,was observed to decrease as we moved toward higher multiplicity *** the effective and kinetic freeze-out temperatures,as well as the transverse flow velocity,show a mild dependency on multiplicity for lighter particles,this dependency becomes more pronounced for heavier *** multiplicity parameter for heavier particles was observed to be smaller than that of lighter particles,indicating a greater abundance of lighter hadrons compared to heavier *** particle species were observed to undergo decoupling from the fireball at distinct temperatures:lighter particles exhibit lower temperatures,while heavier ones show higher temperatures,thereby supporting the concept of multiple freeze-out ***,we identified a positive correlation between the kinetic freeze-out temperature and transverse flow velocity,a scenario where particles experience stronger collective motion at a higher freeze-out *** reason for this positive correlation is th

关键词： multiplicity dependence collective properties thermal energy

Flavonoid Myricetin as Potent Anticancer Agent: A Possibility towards Development of Potential Anticancer Nutraceuticals

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Chinese Journal of Integrative Medicine 2024年第1期30卷 75-84页

作者： Anchal Trivedi Adria hasan Rumana Ahmad sahabjada siddiqui Aditi srivastava Aparna Misra snober s.Mir Department of Biochemistry Era's Lucknow Medical College&HospitalEra UniversityLucknow(226003)India Molecular Cell Biology Laboratory Integral Information and Research Centre-4(IIRC-4)Department of BioengineeringFaculty of EngineeringIntegral UniversityLucknow(226026)India Department of Biotechnology Era's Lucknow Medical College&HospitalEra UniversityLucknow(226003)India Department of Biosciences Faculty of ScienceIntegral UniversityLucknow(226026)India

Good nutrition plays a crucial role in maintaining a balanced lifestyle. The beneficial effects of nutrition have been found to counteract nutritional disturbances with the expanded use of nutraceuticals to treat and manage cardiovascular diseases, cancer, and other developmental defects over the last decade. Flavonoids are found abundantly in plant-derived foods such as fruits, vegetables, tea, cocoa, and wine. Fruits and vegetables contain phytochemicals like flavonoids, phenolics, alkaloids, saponins, and terpenoids. Flavonoids can act as anti-inflammatory, anti-allergic, anti-microbial(antibacterial, antifungal, and antiviral) antioxidant, anti-cancer, and anti-diarrheal agents. Flavonoids are also reported to upregulate apoptotic activity in several cancers such as hepatic, pancreatic, breast, esophageal, and colon. Myricetin is a flavonol which is naturally present in fruits and vegetables and has shown possible nutraceutical value. Myricetin has been portrayed as a potent nutraceutical that may protect against cancer. The focus of the present review is to present an updated account of studies demonstrating the anticancer potential of myricetin and the molecular mechanisms involved therein. A better understanding of the molecular mechanism(s) underlying its anticancer activity would eventually help in its development as a novel anticancer nutraceutical having minimal side effects.

关键词： myricetin flavonoids anticancer nutraceuticals Chinese medicine Ayurveda complementary and alternative medicine

Recent advancements in the diagnosis and treatment of acral melanoma

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Journal of Zhejiang University-science B(Biomedicine & Biotechnology) 2024年第2期25卷 106-122页

作者： Ahmad ALHAsKAWI sohaib hasan Abdullah EZZI Yanzhao DONG Haiying ZHOU Zewei WANG Jingtian LAI Chengjun YAO Vishnu Goutham KOTA Mohamed hasan Abdulla hasan ABDULLA Hui LU Department of Orthopedics the First Affiliated HospitalSchool of MedicineZhejiang UniversityHangzhou310003China Department of Orthopaedics Third Xiangya HospitalCentral South UniversityChangsha410013China Zhejiang University school of Medicine Hangzhou310058China Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare Zhejiang UniversityHangzhou310058China

Acral melanoma(AM)is the most common histologic subtype of melanoma in dark-skinned patients and is associated with a worse prognosis and a high mortality rate,largely due to the inconspicuous nature of early-stage lesions,which can lead to late *** of the overlapping clinical and histopathological features of AM with other forms of cutaneous melanomas,early detection of AM requires a multidisciplinary approach that integrates various diagnostic modalities,including clinical examination,dermoscopy,histopathology,molecular testing,radiological imaging,and blood *** surgery is the preferred method of treatment for AM,other therapeutic options may be employed based on the stage and underlying etiology of the *** checkpoint inhibitors,molecular targeted therapy,radiotherapy,chemotherapy,and oncolytic virotherapy represent promising advanced treatment options for *** this review,we provide an overview of the latest advancements in diagnostic and therapeutic methods for AM,highlighting the importance of early detection and the prompt,individualized management of this challenging disease.

关键词： Acral melanoma Acral lentiginous melanoma Acral nevus Cutaneous malignant melanoma Dermoscopy Oncolytic virotherapy

Clinically adaptable machine learning model to identify early appreciable features of diabetes

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Intelligent Medicine 2024年第1期4卷 22-32页

作者： Nurjahan Nipa Mahmudul hasan Riyad shahriare satu Walliullah Koushik Chandra Howlader mohammad Ali Moni Department of Information and Communication Technology Bangabandhu Sheikh Mujibur Rahman Digital UniversityBangladeshKaliakairGazipur1750 Bangladesh Department of Applied Mathematics Noakhali Science and Technology UniversityNoakhali3814Bangladesh Department of Management Information systems Noakhali Science and Technology UniversityNoakhali3814Bangladesh Department of Computer science and Telecommunication Engineering Noakhali Science and Technology UniversityNoakhali3814Bangladesh Department of Computer science North Dakota State UniversityFargo58105NDUnited States school of Health and Rehabilitation sciences Faculty of Health and Behavioural SciencesThe University of QueenslandSt LuciaQLD 4072Australia

Objective Diabetes mellitus is a serious disease where the body of affected patients are failed to produce enough insulin that causes an abnormality of blood *** disease happens for a number of reasons including modern lifestyle,lethargic attitude,unhealthy food consumption,family history,age,overweight,*** aim of this study was to propose a machine learning based prediction model that detected diabetes at the *** In this work,we collected 520 patients records from the University of California,Irvine(UCI)machine learning repository of sylhet Diabetes Hospital,***,a similar questionnaire of that hospital was followed and assembled 558 patients records from all over Bangladesh through this ***,we accumulated patient records of these two *** the next step,these datasets were cleaned and applied thirty five state-of-arts classifiers such as logistic regression(LR),K nearest neighbors(KNN),support vector classifier(sVC),Nave Byes(NB),decision tree(DT),random forest(RF),stochastic gradient descent(sGD),Perceptron,AdaBoost,XGBoost,passive aggressive classifier(PAC),ridge classifier(RC),Nu-support vector classifier(NusVC),linear support vector classifier(LsVC),calibrated classifier CV(CCCV),nearest centroid(NC),Gaussian process classifier(GPC),multinomial NB(MNB),complement NB,Bernoulli NB(BNB),categorical NB,Bagging,extra tree(ET),gradiant boosting classifier(GBC),Hist gradiant boosting classifier(HGBC),one vs rest classifier(OVsRC),multi-layer perceptron(MLP),label propagation(LP),label spreading(Ls),stacking,ridge classifier CV(RCCV),logistic regression CV(LRCV),linear discriminant analysis(LDA),quadratic discriminant analysis(QDA),and light gradient boosting machine(LGBM)to explore best stable predictive *** performance of the classifiers has been measured using five metrics such as accuracy,precision,recall,F1-score,and area under the receiver operating ***,these outcomes were interpret

关键词： Diabetes Early features Machine learning Classification

Theory for Charge Density Wave and Orbital-Flux state in Antiferromagnetic Kagome Metal FeGe

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Chinese Physics Letters 2024年第4期41卷 90-104页

作者：马海洋殷嘉鑫 M.Zahid hasan 刘健鹏 school of Physical science and Technology ShanghaiTech UniversityShanghai 201210China shanghaiTech Laboratory for Topological Physics ShanghaiTech UniversityShanghai 201210China Quantum science Center of Guangdong-HongKong-Macao Greater Bay Area Shenzhen 518045China Laboratory for Topological Quantum Matter and Advanced spectroscopy(B7) Department of PhysicsPrinceton UniversityPrincetonNew Jersey 08544USA Princeton Institute for science and Technology of Materials Princeton UniversityPrincetonNew Jersey 08544USA Materials sciences Division Lawrence Berkeley National LaboratoryBerkeleyCalifornia 94720USA Liaoning Academy of Materials Shenyang 110167China

We theoretically study the charge order and orbital magnetic properties of a new type of antiferromagnetic kagome metal *** on first-principles density functional theory calculations,we study the electronic structures,Fermi-surface quantum fluctuations,as well as phonon properties of the antiferromagnetic kagome metal *** is found that charge density wave emerges in such a system due to a subtle cooperation between electron-electron interactions and electron–phonon couplings,which gives rise to an unusual scenario of interaction-triggered phonon instabilities,and eventually yields a charge density wave(CDW)*** further show that,in the CDW phase,the ground-state current density distribution exhibits an intriguing star-of-David pattern,leading to flux density *** orbital fluxes(or current loops)in this system emerge as a result of the subtle interplay between magnetism,lattice geometries,charge order,and spin-orbit coupling(sOC),which can be described by a simple,yet universal,tight-binding theory including a Kane-Mele-type sOC term and a magnetic exchange *** further study the origin of the peculiar step-edge states in FeGe,which sheds light on the topological properties and correlation effects in this new type of kagome antiferromagnetic material.

关键词： interaction phonon orbital

Analyzing study for the 3D potential Yu-Toda-sasa-Fukuyama equation in the two-layer liquid medium

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Journal of Ocean Engineering and science 2024年第5期9卷 454-460页

作者： Hajar F.Ismael Ìsrafil Okumus Tolga Aktürk hasan Bulut M.s.Osman Department of Mathematics Faculty of ScienceUniversity of ZakhoZakhoIraq Department of Mathematics Faculty of ScienceFirat UniversityElazigTurkey Department of Mathematics Faculty of ScienceErzincan Binali Yildirim UniversityErzincanTurkey Department of Mathematics and science Education Faculty of EducationOrdu UniversityTurkey Department of Mathematics Faculty of Applied ScienceUmm Al-Qura UniversityMakkah 21955Saudi Arabia Department of Mathematics Faculty of ScienceCairo UniversityGiza 12613Egypt

In this work,we use the(m+1/G')-expansion method and the Adomian decomposition method to study the 3D potential Yu-Toda-sasa-Fukuyama(3D-pYTsF)equation which has a good application in the twolayer liquid *** the first time,the(m+1/G')-expansion and the Adomian decomposition methods are used to establish novel exact wave solutions and to study some numerical solutions for the 3D-pYTsF equation,*** using the analytical method,kink-type wave,singular solution and some complex solutions to the suggested equation are successfully *** obtained wave solutions are represented with some figures in 3D and contour plots.

关键词： (m+1/G')-expansion method Complex solutions Adomian decomposition method

Neural Network-Powered License Plate Recognition system Design

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Engineering（科研） 2024年第9期16卷 284-300页

作者： sakib hasan Md Nagib Mahfuz sunny Abdullah Al Nahian mohammad Yasin school of Information and Electronics Beijing Institute of Technology Beijing China Department of Engineering and Technology Trine University Fort Wayne USA Department of Information Technology Management Westcliff University Irvine USA

The development of scientific inquiry and research has yielded numerous benefits in the realm of intelligent traffic control systems, particularly in the realm of automatic license plate recognition for vehicles. The design of license plate recognition algorithms has undergone digitalization through the utilization of neural networks. In contemporary times, there is a growing demand for vehicle surveillance due to the need for efficient vehicle processing and traffic management. The design, development, and implementation of a license plate recognition system hold significant social, economic, and academic importance. The study aims to present contemporary methodologies and empirical findings pertaining to automated license plate recognition. The primary focus of the automatic license plate recognition algorithm was on image extraction, character segmentation, and recognition. The task of character segmentation has been identified as the most challenging function based on my observations. The license plate recognition project that we designed demonstrated the effectiveness of this method across various observed conditions. Particularly in low-light environments, such as during periods of limited illumination or inclement weather characterized by precipitation. The method has been subjected to testing using a sample size of fifty images, resulting in a 100% accuracy rate. The findings of this study demonstrate the project’s ability to effectively determine the optimal outcomes of simulations.

关键词： Intelligent Traffic Control systems Automatic License Plate Recognition (ALPR) Neural Networks Vehicle surveillance Traffic Management License Plate Recognition Algorithms Image Extraction Character segmentation Character Recognition Low-Light Environments Inclement Weather Empirical Findings Algorithm Accuracy simulation Outcomes Digitalization

Lightweight Design and structural Analysis of Chassis and steering Knuckle in a FsAE Car

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Lightweight Design and Structural Analysis of Chassis and St...

作者： Ammarul hasan 扬州大学

学位级别：硕士

Finite Element Analysis of Tubular KK Joint under Compressive Loading

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American Journal of Computational Mathematics 2024年第3期14卷 291-304页

作者： mohammad Tanzil hasan Md. Jobayer Mia Md. syful Isalm Bipul Department of Mathematics Bangabandhu Sheikh Mujibur Rahman Maritime University Dhaka Bangladesh Department of Naval Architecture and Offshore Engineering Bangabandhu Sheikh Mujibur Rahman Maritime University Dhaka Bangladesh

KK tubular joints are used to build jacket-type offshore structures. These joints are mostly made up of structural steel. These joints can withstand yield, buckling, and lateral loads depending on the structure’s design and environment. In this study, the Finite Element Model of the KK-type tubular joint has been created, and analysis has been performed under static loading using the static structural analysis system of ANsYs 19.2 commercial software and structural mechanics module of COMsOL Multiphysics. The KK tubular model is analyzed under compressive load conditions, and the resulting stress, strain, and deformation values are tabulated in both graphical and tabular form. This study includes a comparison of the outcomes from both commercial software. The results highlight that maximum stress, strain, and deformation values decrease as joint thickness increases. This study holds significant relevance in advancing the understanding of tubular KK joints and their response to compressive loading. The insights derived from the analysis have the potential to contribute to the development of more robust and reliable tubular KK joints in various engineering and structural applications. .

关键词： KK Joint Brace Offshore structures Chord Numerical Analysis static Analysis