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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

Molecular mechanism of nanomaterials induced liver injury:A review

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World Journal of Hepatology 2024年第4期16卷 566-600页

作者： Sanjib Kumar Das koushik Sen Biswatosh Ghosh Nabanita Ghosh Krishnendu Sinha Parames C Sil Department of Zoology Jhargram Raj CollegeJhargram 721507India Department of Zoology Bidhannagar CollegeKolkata 700064India Department of Zoology Maulana Azad CollegeKolkata 700013India Department of Molecular Medicine Bose InstituteCalcutta 700054India

The unique physicochemical properties inherent to nanoscale materials have unveiled numerous potential applications,spanning beyond the pharmaceutical and medical sectors into various consumer industries like food and ***,humans encounter nanomaterials through diverse exposure routes,giving rise to potential health *** among these materials are silica and specific metallic nanoparticles,extensively utilized in consumer products,which have garnered substantial attention due to their propensity to accumulate and induce adverse effects in the *** review paper aims to provide an exhaustive examination of the molecular mechanisms underpinning nanomaterial-induced hepatotoxicity,drawing insights from both in vitro and in vivo ***,the most frequently observed manifestations of toxicity following the exposure of cells or animal models to various nanomaterials involve the initiation of oxidative stress and ***,we delve into the existing in vitro models employed for evaluating the hepatotoxic effects of nanomaterials,emphasizing the persistent endeavors to advance and bolster the reliability of these models for nanotoxicology research.

关键词： Nanoparticles Hepatotoxicity Oxidative stress Inflammation Autophagy

Performance validation of High Mountain Asia 8-meter Digital Elevation Model using ICESat-2 geolocated photons

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Journal of Mountain Science 2024年第8期21卷 2562-2578页

作者： Giribabu DANDABATHULA Subham ROY Omkar Shashikant GHATAGE Vaibhav Balaso KOLASE Shwetambari SATPUTE koushik GHOSH Sahibnoor KAUR Satyanarayana PONDARI Apurba Kumar BERA Sushil Kumar SRIVASTAV Regional Remote Sensing Centre-West National Remote Sensing CentreIndian Space Research OrganisationJodhpur 342005India Department of Geography School of Earth SciencesBharathidasan UniversityTiruchirappalli 620024India Centre for Climate Change and Water Research Suresh Gyan Vihar UniversityJaipur 302017India Department of Geography Panjab UniversityChandigarh 160014India National Remote Sensing Centre Indian Space Research OrganisationHyderabad 500037India Regional Centres National Remote Sensing CentreIndian Space Research OrganisationNew Delhi 110049India

High Mountain Asia(HMA),recognized as a third pole,needs regular and intense studies as it is susceptible to climate *** accurate and high-resolution Digital Elevation Model(DEM)for this region enables us to analyze it in a 3D environment and understand its intricate role as the Water Tower of *** science teams of NASA realized an 8-m DEM using satellite stereo imagery for HMA,termed HMA 8-m *** this research,we assessed the vertical accuracy of HMA 8-m DEM using reference elevations from ICESat-2 geolocated photons at three test sites of varied topography and land *** were made from statistical quantifiers and elevation *** the world’s highest mountain,Mount Everest,and its surroundings,Root Mean Squared Error(RMSE)and Mean Absolute Error(MAE)resulted in 1.94 m and 1.66 m,respectively;however,a uniform positive bias observed in the elevation profiles indicates the seasonal snow cover change will dent the accurate estimation of the elevation in this sort of test *** second test site containing gentle slopes with forest patches has exhibited the Digital Surface Model(DSM)features with RMSE and MAE of 0.58 m and 0.52 m,*** third test site,situated in the Zanda County of the Qinghai-Tibet,is a relatively flat terrain bed,mostly bare earth with sudden river cuts,and has minimal errors with RMSE and MAE of 0.32 m and 0.29 m,respectively,and with a negligible ***,in one more test site,the feasibility of detecting the glacial lakes was tested,which resulted in exhibiting a flat surface over the surface of the lakes,indicating the potential of HMA 8-m DEM for deriving the hydrological *** results accrued in this investigation confirm that the HMA 8-m DEM has the best vertical accuracy and should be of high use for analyzing natural hazards and monitoring glacier surfaces.

关键词： High Mountain Asia Digital Elevation Model ICESat-2 geolocated photons Accuracy assessment

Identification of high-dielectric constant compounds from statistical design

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npj Computational Materials 2022年第1期8卷 1396-1405页

作者： Abhijith Gopakumar koushik Pal Chris Wolverton Department of Materials Science and Engineering Northwestern University2220 Campus DriveEvanstonIL60208USA

The discovery of high-dielectric materials is crucial to increasing the efficiency of electronic devices and ***,we report three previously unexplored materials with very high dielectric constants(69<ϵ<101)and large b... 详细信息

关键词： dielectric high constant

Scale-invariant machine-learning model accelerates the discovery of quaternary chalcogenides with ultralow lattice thermal conductivity

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npj Computational Materials 2022年第1期8卷 455-466页

作者： koushik Pal Cheol Woo Park Yi Xia Jiahong Shen Chris Wolverton Department of Materials Science and Engineering Northwestern UniversityEvanstonIL60208USA

We design an advanced machine-learning(ML)model based on crystal graph convolutional neural network that is insensitive to volumes(i.e.,scale)of the input crystal structures to discover novel quaternary chalcogenides,AMM′Q3(A/M/M'=alkali,alkaline earth,post-transition metals,lanthanides,and Q=chalcogens).These compounds are shown to possess ultralow lattice thermal conductivity(κ_(l)),a desired requirement for thermal-barrier coatings and *** screening the thermodynamic stability of~1 million compounds using the ML model iteratively and performing density-functional theory(DFT)calculations for a small fraction of compounds,we discover 99 compounds that are validated to be stable in *** several DFT-stable compounds,we calculate theirκl using Peierls–Boltzmann transport equation,which reveals ultralowκ_(l)(<2 Wm^(−1)K^(−1)at room temperature)due to their soft elasticity and strong phonon *** work demonstrates the high efficiency of scale-invariant ML model in predicting novel compounds and presents experimental-research opportunities with these new compounds.

关键词： ultralow thermal invariant

Microscopic mechanism of unusual lattice thermal transport in TlInTe_(2)

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npj Computational Materials 2021年第1期7卷 1-8页

作者： koushik Pal Yi Xia Chris Wolverton Department of Materials Science and Engineering Northwestern UniversityEvanstonIL 60208USA

We investigate the microscopic mechanism of ultralow lattice thermal conductivity(κl)of TlInTe_(2)and its weak temperature dependence using a unified theory of lattice heat transport,that considers contributions arising from the particle-like propagation as well as wave-like tunneling of *** we use the Peierls–Boltzmann transport equation(PBTE)to calculate the particlelike contributions(κl(PBTE)),we explicitly calculate the off-diagonal(OD)components of the heat-flux operator within a firstprinciples density functional theory framework to determine the contributions(κl(OD))arising from the wave-like tunneling of *** each temperature,T,we anharmonically renormalize the phonon frequencies using the self-consistent phonon theory including quartic anharmonicity,and utilize them to calculateκl(PBTE)andκl(OD).With the combined inclusion ofκl(PBTE),κl(OD),and additional grain-boundary scatterings,our calculations successfully reproduce the experimental *** analysis shows that large quartic anharmonicity of TlInTe_(2)(a)strongly hardens the low-energy phonon branches,(b)diminishes the three-phonon scattering processes at finite T,and(c)recovers the weaker than T^(−1) decay of the measuredκl.

关键词： lattice phonon harmonic

Inhibiting Protein Aggregation by Small Molecule-Based Colloidal Nanoparticles

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Accounts of Materials Research 2022年第1期3卷 54-66页

作者： koushik Debnath Ankan Kumar Sarkar Nihar R.Jana Nikhil R.Jana Department of Pharmacology and Regenerative Medicine College of MedicineUniversity of Illinois at ChicagoChicagoIllinois 60612United States Department of Biomedical Engineering College of MedicineUniversity of Illinois at ChicagoChicagoIllinois 60607United States School of Materials Sciences Indian Association for the Cultivation of ScienceKolkata 700032India

CONSPECTUS:Protein aggregation is associated with different human diseases such as Alzheimer’s,Huntington’s,Parkinson’s,diabetes type II,and *** no effective treatment exists for many of these diseases,particularly for neurological *** research focuses on understanding the origin of protein aggregation,nucleation−growth mechanism of protein aggregation,origin of cytotoxicity of protein aggregates,cellular response of toxic protein aggregates,progress of diseases at intra/extracellular space,and drug developments for respective *** issues are the identification of molecular drugs that can inhibit protein aggregation at early stage,lowering of toxicity due to protein aggregates,delivery of drugs to remote organ and intracellular space,clearing matured protein aggregates from cell/extracellular space/brain,and design of effective therapeutic *** and materials scientists have identified a wide variety of antiamyloidogenic small molecules,macromolecules,and *** is shown that antiamyloidogenic molecules prevent protein oligomerization via binding to protein,masking metal ions(via chelating with metal ions)that are responsible for protein aggregation via generating reactive oxygen species(ROS),and lowering protein−protein interaction via macromolecular crowding ***,nanoscale materials with curved surface and multiple chemical functional groups act as adsorption/binding sites of proteins,modulate nucleation−growth kinetics of protein aggregation,and delay/inhibit protein aggregation in many ***,performance of all these antiamyloidogenic materials needs significant improvement,and proper therapeutic strategies are required for effective drug *** this Account,we describe that the performance of antiamyloidogenic molecules can be greatly improved via appropriate design into colloidal and nanoparticle *** first discuss different human diseases that are linked with protein agg

关键词： integrating Huntington curved

Effects of patch size, disturbances on diversity and structural traits of tropical semi-evergreen forest in the lowland Indo Burma hotspot: implication on conservation of the threatened tree species

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Journal of Mountain Science 2016年第8期13卷 1397-1410页

作者： koushik MAJUMDAR Badal Kumar DATTA Plant Taxonomy and Biodiversity Laboratory Department of Botany Tripura University

Information on geographic distribution, population and threat status of most globally red listed species in the Indo Burma zone are inadequate. Given the increase in the prevalence of isolated forest patches in the part of this hotspot, evaluation is necessary on how size of the remnant forest patches and on-going disturbances affects structure and diversity of remaining habitats including the population of some globally threatened tree species. Quantitative vegetation inventory by 500 m long and 10 m wide(0.5 ha) line transects were randomly set in nine fragmented tropical semi-evergreen forest patches in Tripura, Northeast India. The studied forests patches grouped into small, medium and large based on their respected sizes. Spatial variability was analysed in woody species diversity and structure along the patch size gradients and their response to both patch size and anthropogenic disturbances. Out of 167 species, 13 identified as red-listed species by IUCN under the present inventory. Most of the diversity and structural parameters showed statistically significant positive response with the forest patch size, except for stand dominance, disturbance, sapling density and number of aggregated distribution pattern decreased when patch size increased. In addition, most of the diversity and structural attributes showed negative response with disturbances. Present baseline data would serve as an effective tool for management and protection of this important forest type. Future habitat restoration programme and strategies for relocation of additional population and re-introduction of those globally threatened trees are recommended.

关键词：物种多样性斑块大小常绿阔叶林结构特征干扰影响树种保护印度热带

Molecular dynamics simulation of nanometer scale mechanical properties of hexagonal Mgsingle bondLi alloy

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Journal of Magnesium and Alloys 2016年第1期4卷 36-43页

作者： Avik Mahata koushik Sikdar Department of Aerospace Engineering Indian Institute of ScienceBengaluru 560012India Surface and Tribology Laboratory Department of Materials Science and EngineeringIndian Institute of TechnologyKanpur 208016India

Nano mechanical behavior of Mgsingle bondLi nanowire is investigated under tension and compression to elicit property alteration due to Li alloying in Mg within hexagonal *** atom method(EAM)is employed to carry out present simulation *** under consideration is supposed to be isotropic and mechanical behavior is uninfluenced by material *** elastic modulus,yield strength both in tension and compression is assessed with change in strain *** of temperature in tension and compression are *** of present simulation work elicit serrated yielding under uniaxial tension,however,twin mediated deformation under compression is completely tuned with previously reported experimental *** investigation bridges nanometer scale properties to microscale material response,which in turn can be applied for designing suitable robust processing routes of this material.

关键词： Molecular dynamic simulation Nanowire Mechanical behavior