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Prediction of Alzheimer’s Using Random Forest with Radiomic Features
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作者 Anuj Singh raman kumar Arvind kumar Tiwari 《Computer Systems Science & Engineering》 SCIE EI 2023年第4期513-530,共18页
Alzheimer’s disease is a non-reversible,non-curable,and progressive neurological disorder that induces the shrinkage and death of a specific neuronal population associated with memory formation and retention.It is a ... Alzheimer’s disease is a non-reversible,non-curable,and progressive neurological disorder that induces the shrinkage and death of a specific neuronal population associated with memory formation and retention.It is a frequently occurring mental illness that occurs in about 60%–80%of cases of dementia.It is usually observed between people in the age group of 60 years and above.Depending upon the severity of symptoms the patients can be categorized in Cognitive Normal(CN),Mild Cognitive Impairment(MCI)and Alzheimer’s Disease(AD).Alzheimer’s disease is the last phase of the disease where the brain is severely damaged,and the patients are not able to live on their own.Radiomics is an approach to extracting a huge number of features from medical images with the help of data characterization algorithms.Here,105 number of radiomic features are extracted and used to predict the alzhimer’s.This paper uses Support Vector Machine,K-Nearest Neighbour,Gaussian Naïve Bayes,eXtreme Gradient Boosting(XGBoost)and Random Forest to predict Alzheimer’s disease.The proposed random forest-based approach with the Radiomic features achieved an accuracy of 85%.This proposed approach also achieved 88%accuracy,88%recall,88%precision and 87%F1-score for AD vs.CN,it achieved 72%accuracy,73%recall,72%precisionand 71%F1-score for AD vs.MCI and it achieved 69%accuracy,69%recall,68%precision and 69%F1-score for MCI vs.CN.The comparative analysis shows that the proposed approach performs better than others approaches. 展开更多
关键词 Alzheimer’s disease radiomic features cognitive normal support vector machine mild cognitive impairment extreme gradient boosting random forest
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Familial aggregation and heritability for cardiovascular risk factors: a family based study in Punjab, India
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作者 raman kumar Bdarud Doza 《Natural Science》 2010年第7期732-736,共5页
Background: It is well established that the people with elevated SBP, DBP, BMI and WHR are more prone to cardiovascular disease. However, very few studies have focused on the amount of familial aggregation and heritab... Background: It is well established that the people with elevated SBP, DBP, BMI and WHR are more prone to cardiovascular disease. However, very few studies have focused on the amount of familial aggregation and heritability of these cardiovascular risk factors in Indian population. Therefore, purpose of this study was to investigate the familial aggregation of blood pressures with respect to certain anthropometric traits and to determine the relative roles of heredity in the etiology of SBP and DBP in a sample of families with three generations. Methods: The study has been conducted through house to house family study among three generations such as offspring, parent and grandparent in a scheduled caste community (Ramdasia) in Punjab. A total of 1400 individuals, constituting 380 families were surveyed for blood pressure, pulse rate, pulse pressure and anthropometric measurements to study familial aggregation and heritability for cardiovascular risk factors. The analysis represents a multivariate model which includes the each individual family data for estimation of familial correlation and heritability. Results: All risk factors showed positive familial correlation but magnitudes are different in va rious pairs of combination. Correlations generally are higher among genetically close relatives such as brothersisters or parentoffspring and are lower among spouses. The estimated heri tabilities were 22% for systolic and 27% for diastolic blood pressure, 19% for BMI and 17% for WHR. Conclusions: These results indicate a strong familial aggregation of cardiovascular risk factors such as SBP and DBP in this population and also showed that this familial influence can be detected from anthropometric mea surements and genetic closeness. Almost all anthropometric variables were found to be significant with blood pressures among three ge nerations. 展开更多
关键词 FAMILIAL AGGREGATION HERITABILITY Risk Factors Ramdasia POPULATION PUNJAB
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A Note on the Effect of Negative Poisson’s Ratio on the Deformation of a Poroelastic Half-Space by Surface Loads
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作者 Sunita Rani raman kumar Sarva Jit Singh 《Engineering(科研)》 2010年第6期432-437,共6页
The aim of this note is to study the effect of negative Poisson’s ratio on the quasi-static deformation of a poroelastic half-space with anisotropic permeability and compressible fluid and solid constituents by surfa... The aim of this note is to study the effect of negative Poisson’s ratio on the quasi-static deformation of a poroelastic half-space with anisotropic permeability and compressible fluid and solid constituents by surface loads. Two particular cases considered are: two-dimensional normal strip loading and axisymmetric normal disc loading. It is found that a negative Poisson’s ratio makes the Mandel-Cryer effect more prominent. It also results in an increase in the magnitude of the surface settlement. 展开更多
关键词 Anisotropic Permeability AUXETIC Material NEGATIVE Poisson’s Ratio POROELASTIC HALF-SPACE QUASI-STATIC Deformation SURFACE Loading
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Direct laser writing of volumetric gradient index lenses and waveguides 被引量:11
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作者 Christian R.Ocier Corey A.Richards +17 位作者 Daniel A.Bacon-Brown Qing Ding raman kumar Tanner J.Garcia Jorik van de Groep Jung-Hwan Song Austin J.Cyphersmith Andrew Rhode Andrea N.Perry Alexander J.Littlefield Jinlong Zhu Dajie Xie Haibo Gao Jonah F.Messinger Mark L.Brongersma Kimani C.Toussaint Jr Lynford L.Goddard Paul V.Braun 《Light: Science & Applications》 SCIE EI CAS CSCD 2020年第1期89-102,共14页
Direct laser writing(DLW)has been shown to render 3D polymeric optical components,including lenses,beam expanders,and mirrors,with submicrometer precision.However,these printed structures are limited to the refractive... Direct laser writing(DLW)has been shown to render 3D polymeric optical components,including lenses,beam expanders,and mirrors,with submicrometer precision.However,these printed structures are limited to the refractive index and dispersive properties of the photopolymer.Here,we present the subsurface controllable refractive index via beam exposure(SCRIBE)method,a lithographic approach that enables the tuning of the refractive index over a range of greater than 0.3 by performing DLW inside photoresist-filled nanoporous silicon and silica scaffolds.Adjusting the laser exposure during printing enables 3D submicron control of the polymer infilling and thus the refractive index and chromatic dispersion.Combining SCRIBE’s unprecedented index range and 3D writing accuracy has realized the world’s smallest(15μm diameter)spherical Luneburg lens operating at visible wavelengths.SCRIBE’s ability to tune the chromatic dispersion alongside the refractive index was leveraged to render achromatic doublets in a single printing step,eliminating the need for multiple photoresins and writing sequences.SCRIBE also has the potential to form multicomponent optics by cascading optical elements within a scaffold.As a demonstration,stacked focusing structures that generate photonic nanojets were fabricated inside porous silicon.Finally,an all-pass ring resonator was coupled to a subsurface 3D waveguide.The measured quality factor of 4600 at 1550 nm suggests the possibility of compact photonic systems with optical interconnects that traverse multiple planes.SCRIBE is uniquely suited for constructing such photonic integrated circuits due to its ability to integrate multiple optical components,including lenses and waveguides,without additional printed supports. 展开更多
关键词 INDEX refractive RENDER
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Understanding the anti-corrosion characteristics of a newly synthesized Schiff's base: an experimental and computational approach
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作者 raman kumar Gurmeet Singh 《Corrosion Communications》 2022年第3期51-62,共12页
This paper presents an economically viable and sustainable method to combat depletion of extensively used mild steel alloy in industries exposed to a stagnant 0.5 mol/L sulphuric acid(H_(2)SO_(4))environment via a new... This paper presents an economically viable and sustainable method to combat depletion of extensively used mild steel alloy in industries exposed to a stagnant 0.5 mol/L sulphuric acid(H_(2)SO_(4))environment via a newly synthesized and characterized inhibitor namely 3-(2-amino-3-methylphenyl)imino)methyl)benzaldehyde(AMMB).The fabrication of this additive was performed at room temperature(298 K)using eco-friendly solvents and reactants.The highest protection efficiency recorded was 98.73%at 298 K temperature.Comprehensive nature of the corrosion inhibition mechanism was ascertained using state of the art electrochemical(galvanostatic polarization,LPR,and EIS)and morphological(ATR,AFM,SEM-EDS)studies.These investigations also revealed the formation of complexes between metal and inhibitor molecules.The complexes formed on the metal substrate encase the entire surface,which accounts for the observed high inhibition efficiency.The quantum mechanical modeling of AMMB molecule and temperature kinetics study supplemented the predicted results from preceding techniques. 展开更多
关键词 Polarization techniques Corrosion Density functional theory Impedance Atomic force microscopy Surface characterization
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