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Impact of a Magnetic Dipole on Heat Transfer in Non-Conducting Magnetic Fluid Flow over a Stretching Cylinder

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Fluid Dynamics & Materials Processing 2024年第3期20卷 475-486页

作者： Anupam bhandari Department of Mathematics School of EngineeringUniversity of Petroleum&Energy Studies(UPES)Energy Acres BuildingBidholi DehradunUttarakhand248007India

The thermal behavior of an electrically non-conducting magnetic liquid flowing over a stretching cylinder under the influence of a magnetic dipole is *** governing nonlinear differential equations are solved numerically using a finite element approach,which is properly validated through comparison with earlier results available in the *** results for the velocity and temperature fields are provided for different values of the Reynolds number,ferromagnetic response number,Prandtl number,and viscous dissipation *** influence of some physical parameters on skin friction and heat transfer on the walls of the cylinder is also *** applicability of this research to heat control in electronic devices is discussed to a certain extent.

关键词： Ferrofluid stretching cylinder finite element method heat transfer magnetic dipole

Sodium glucose cotransporter 2 inhibitors in the management of heart failure:Veni,Vidi,and Vici

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World Journal of Cardiology 2024年第10期16卷 550-563页

作者： Monika bhandari Akshyaya Pradhan Pravesh Vishwakarma Abhishek Singh Rishi Sethi Department of Cardiology King Georg’s Medical UniversityLucknow 226003Uttar PradeshIndia

Heart failure(HF)is a chronic disease associated with high morbidity and mortality ***-angiotensin-aldosterone system blockers(including angiotensin receptor/neprilysin inhibitors),beta-blockers,and mineralocorticoid receptor blockers remain the mainstay of pharmacotherapy for HF with reduced ejection fraction(HFrEF).However,despite the use of guideline-directed medical therapy,the mortality from HFrEF remains *** with preserved ejection fraction(HFpEF)comprises approximately half of the total incident HF cases;however,unlike HFrEF,there are no proven therapies for this *** glucose cotransporter-2 inhibitors(SGLT-2is)represent a new class of pharmacological agents approved for diabetes mellitus(DM)that inhibit SGLT-2 receptors in the kidney.A serendipitous finding from seminal trials of SGLT-2is in DM was the significant improvement in renal and cardiovascular(CV)*** importantly,the improvement in HF hospitalization(HHF)in the CV outcomes trials of SGLT-2is was *** mechanisms have been proposed for the pleiotropic effects of SGLT-2is beyond their glycemic ***,as patients with HF were not included in any of these trials,it can be considered as a primary ***,two landmark studies of SGLT-2is in patients with HFrEF,namely,an empagliflozin outcome trial in patients with chronic HF and a reduced ejection fraction(EMPEROR-Reduced)and dapagliflozin and prevention of adverse outcomes in HF(DAPA-HF),demonstrated significant improvement in HHF and CV mortality regardless of the presence of *** impressive results pitchforked these drugs as class I indications in patients with HFrEF across major ***,empagliflozin outcome trial in patients with chronic HF with preserved ejection fraction(EMPEROR-Preserved)and dapagliflozin evaluation to improve the lives of patients with preserved ejection fraction HF(DELIVER)trials successively confirmed that SGLT-2is also benefit patients w

关键词： Heart failure with preserved ejection fraction Gliflozins Diuresis Natriuresis N terminal-pro brain natriuretic peptide Heart failure hospitalization

Advanced Computing for Cardiovascular Disease Prediction

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Open Journal of Statistics 2024年第3期14卷 228-242页

作者： Santosh Gaire Poshan Belbase Amrit Kafle Rajendra bhandari Vitreous State Laboratory The Catholic University of America Washington DC USA Department of Physics The Catholic University of America Washington DC USA

Developing a predictive model for detecting cardiovascular diseases (CVDs) is crucial due to its high global fatality rate. With the advancements in artificial intelligence, the availability of large-scale data, and increased access to computational capability, it is feasible to create robust models that can detect CVDs with high precision. This study aims to provide a promising method for early diagnosis by employing various machine learning and deep learning techniques, including logistic regression, decision trees, random forest classifier, extreme gradient boosting (XGBoost), and a sequential model from Keras. Our evaluation identifies the random forest classifier as the most effective model, achieving an accuracy of 0.91, surpassing other machine learning and deep learning approaches. Close behind are XGBoost (accuracy: 0.90), decision tree (accuracy: 0.86), and logistic regression (accuracy: 0.70). Additionally, our deep learning sequential model demonstrates promising classification performance, with an accuracy of 0.80 and a loss of 0.425 on the validation set. These findings underscore the potential of machine learning and deep learning methodologies in advancing cardiovascular disease prediction and management strategies.

关键词： Machine Learning Deep Learning Classification Performance Matrix Accuracy

Probabilistic Analysis of Slope Using Finite Element Approach and Limit Equilibrium Approach around Amalpata Landslide of West Central, Nepal

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International Journal of Geosciences 2024年第5期15卷 416-432页

作者： Mahendra Acharya Khomendra bhandari Sandesh Dhakal Aasish Giri Prabin Kafle Central Department of Geology Tribhuvan University Kathmandu Nepal Department of Geology Tri-Chandra Multiple Campus Tribhuvan University Kathmandu Nepal Sri Revana Siddeshwara Institute of Technology Visvesvaraya Technological University Bengaluru India

The stability study of the ongoing and recurring Amalpata landslide in Baglung in Nepal’s Gandaki Province is presented in this research. The impacted slope is around 200 meters high, with two terraces that have different slope inclinations. The lower bench, located above the basement, consistently fails and sets others up for failure. The fluctuating water level of the slope, which travels down the slope masses, exacerbates the slide problem. The majority of these rocks are Amalpata landslide area experiences several structural disruptions. The area’s stability must be evaluated in order to prevent and control more harm from occurring to the nearby agricultural land and people living along the slope. The slopes’ failures increase the damages of house existing in nearby area and the erosion of the slope. Two modeling techniques the finite element approach and the limit equilibrium method were used to simulate the slope. The findings show that, in every case, the terrace above the basement is where the majority of the stress is concentrated, with a safety factor of near unity. Using probabilistic slope stability analysis, the failure probability was predicted to be between 98.90% and 100%.

关键词： Finite Element Approach Limit Equilibrium Method Slope Factor of Safety

评估农林业适应气候变化的潜力:尼泊尔拉姆琼案例研究

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Journal of Resources and Ecology 2024年第2期15卷 280-292页

作者： JOSHI Rajeev TAMANG Gyanu Maya bhandari Prativa SHARMA Bharat JOSHI Dikshya BHUSAL Shushma 尼泊尔农林大学林学院自然资源管理学院尼泊尔卡塔里56310 特里布万大学林业研究所(博卡拉校区) 尼泊尔博卡拉33700 森林和土壤保护部森林部门办公室尼泊尔久姆拉21200 森林研究所印度德拉敦248001 远西大学农学院尼泊尔提卡波10901

农林系统具有多种效益,包括通过使用肥用树种来提高土壤质量,通过树冠改善小气候,以及生产薪柴和其他医药产品等森林产品以提高经济效益。农林复合经营有助于更好的土地管理、生计多样化和提高土地生产力。然而,政策制定者和其他利益相... 详细信息

农林系统具有多种效益,包括通过使用肥用树种来提高土壤质量,通过树冠改善小气候,以及生产薪柴和其他医药产品等森林产品以提高经济效益。农林复合经营有助于更好的土地管理、生计多样化和提高土地生产力。然而,政策制定者和其他利益相关方在农林业作为气候变化适应战略中作用的争辩却越来越多。本研究的目的是评估农林业作为气候变化适应战略的潜力。数据主要通过问卷调查从拉姆琼县Taksar的120名受访者中收集,采用卡方检验和二元logistic模型分析了影响气候变化适应策略的家庭选择因素。同样,通过访谈、讨论和观察以及后续的文件分析,对所获得的数据进行三角互证和验证。研究表明,农民采取了许多应对气候变化的策略,这些策略包括农牧多样化(71%)、使用改良作物品种、化肥和农药(73%)、农林复合经营(68%)、创收多样化(72%)、改变作物种植日期(57%)和复种措施(67%)等。从卡方检验和二元logistic模型中发现,“耕作经验”、“教育水平”、“农场规模”和“性别”对气候变化适应策略具有显著影响。农林复合经营具有不同的效益,如增加河流汇水(79.2%)、改善小气候(80.8%)、增加木材产品(71.7%)、提高粮食产量(83.3%)、改善牲畜健康和畜产品(77.5%)、提高土壤肥力(84.2%)和多样化生计选择(82.2%)。基于这些发现,该研究得出结论:农林复合经营是一种可以减少气候变化对当地环境影响的农业生产方法,推广和采用农林业可以帮助当地社区减少气候变化的影响。

关键词：气候变化适应策略当地社区复种

Radiation and Chemical Reaction Effects on Nanofluid Flow Over a Stretching Sheet

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Fluid Dynamics & Materials Processing 2019年第5期15卷 557-582页

作者： Anupam bhandari University of Petroleum&Energy Studies(UPES) Department of MathematicsSchool of EngineeringEnergy Acres BuildingBidholi Dehradun248007UttarakhandIndia

The present research aims to examine the steady state of the two-dimensional incompressible magnetohydrodynamics(MHD)flow of a micropolar nanofluid over a stretching sheet in the presence of chemical reactions,radiation and viscous *** effect of particle rotation is taken into account.A conducting fluid passes over a semi-infinite plate with variable temperature while a magnetic field is directed in the transverse *** for velocity,angular momentum,temperature and concentration profiles are obtained for various values of Eckert number,Schmidt number,Prandtl number,thermophosis parameter and Brownian motion parameters.A similarity approach is used to transform the original set of two-dimensional partial differential equations into a set of highly nonlinear-coupled differential equations in dimensionless form.A numerical solution is obtained with the help of the COMSOL multiphysics software in the framework of a finite element *** findings indicate that on increasing Brownian motion and the chemical reaction rate,the fluid temperature becomes *** increase in the values of other physical parameters has the opposite effect.A variation in the boundary layer thickness typically results in changes in the concentration distribution in the *** angular velocity is deeply affected by the Eckert number,material parameter and magnetic number.

关键词： Nanofluid magnetohydrodynamics rotation temperature concentration

A Local Contrast Fusion Based 3D Otsu Algorithm for Multilevel Image Segmentation

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IEEE/CAA Journal of Automatica Sinica 2020年第1期7卷 200-213页

作者： Ashish Kumar bhandari Arunangshu Ghosh Immadisetty Vinod Kumar Department of Electronics and Communication Engineering National Institute of Technology Patna

To overcome the shortcomings of 1 D and 2 D Otsu’s thresholding techniques, the 3 D Otsu method has been *** all Otsu’s methods, 3 D Otsu technique provides the best threshold values for the multi-level thresholding processes. In this paper, to improve the quality of segmented images, a simple and effective multilevel thresholding method is introduced. The proposed approach focuses on preserving edge detail by computing the 3 D Otsu along the fusion phenomena. The advantages of the presented scheme include higher quality outcomes, better preservation of tiny details and boundaries and reduced execution time with rising threshold levels. The fusion approach depends upon the differences between pixel intensity values within a small local space of an image;it aims to improve localized information after the thresholding process. The fusion of images based on local contrast can improve image segmentation performance by minimizing the loss of local contrast, loss of details and gray-level distributions. Results show that the proposed method yields more promising segmentation results when compared to conventional1 D Otsu, 2 D Otsu and 3 D Otsu methods, as evident from the objective and subjective evaluations.

关键词： 1D Otsu 2D Otsu 3D Otsu image fusion local contrast multi-level image segmentation

Advanced Computing for Cardiovascular Disease Prediction

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Acrosome reaction： relevance of zona pellucida glycoproteins

Open Journal of Statistics（统计学期刊） 2024年第3期 228页

作者： Santosh Gaire Poshan Belbase Amrit Kafle Rajendra bhandari

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Asian Journal of Andrology 2011年第1期13卷 97-105页

作者： Satish K Gupta Beena bhandari Reproductive Cell Biology Laboratory National Institute of Immunology New Delhi-110 067 India

During mammalian fertilisation, the zona pellucida （ZP） matrix surrounding the oocyte is responsible for the binding of the spermatozoa to the oocyte and induction of the acrosome reaction （AR） in the ZP-bound spermatozoon. The AR is crucial for the penetration of the ZP matrix by spermatozoa. The ZP matrix in mice is composed of three glycoproteins designated ZP1, ZP2 and ZP3, whereas in humans, it is composed of four （ZP1, ZP2, ZP3 and ZP4）. ZP3 acts as the putative primary sperm receptor and is responsible for AR induction in mice, whereas in humans （in addition to ZP3）, ZP1 and ZP4 also induce the AR. The ability of ZP3 to induce the AR resides in its C-terminal fragment. O-linked glycans are critical for the murine ZP3-mediated AR. However, N-linked glycans of human ZP1, ZP3 and ZP4 have important roles in the induction of the AR. Studies with pharmacological inhibitors showed that the ZP3-induced AR involves the activation of the Gi-coupled receptor pathway, whereas ZP1- and ZP4-mediated ARs are independent of this pathway. The ZP3-induced AR involves the activation of T-type voltage-operated calcium channels （VOCCs）, whereas ZP1- and ZP4-induced ARs involve both T- and L-type VOCCs. To conclude, in mice, ZP3 is primarily responsible for the binding of capacitated spermatozoa to the ZP matrix and induction of the AR, whereas in humans （in addition to ZP3）, ZP1 and ZP4 also participate in these stages of fertilisation.

关键词： acrosome reaction fertilisation oocyte signalling pathways spermatozoa zona pellucida glycoproteins