A5021884346- Quantum, superfluid, helium dynamics
- Atomic and Subatomic Physics Research
- Cold Atom Physics and Bose-Einstein Condensates
- High-pressure geophysics and materials
- Artificial Intelligence in Healthcare
- Imbalanced Data Classification Techniques
- Advanced Chemical Physics Studies
- Physics of Superconductivity and Magnetism
- Laser-induced spectroscopy and plasma
- Fluid Dynamics and Turbulent Flows
- Machine Learning in Healthcare
- Laser-Plasma Interactions and Diagnostics
- Advanced X-ray Imaging Techniques
- Advanced Electron Microscopy Techniques and Applications
- Laser-Matter Interactions and Applications
- Meteorological Phenomena and Simulations
- Online Learning and Analytics
- Information Technology Governance and Strategy
- Artificial Intelligence in Healthcare and Education
- Algal biology and biofuel production
- Nuclear Physics and Applications
- Advanced Thermodynamic Systems and Engines
- Information Retrieval and Data Mining
- Computational Physics and Python Applications
- FinTech, Crowdfunding, Digital Finance
Binus University
2020-2023
University of Southern California
2015-2022
OVO (Indonesia)
2019
LAC+USC Medical Center
2014
Helium nanodroplets are considered ideal model systems to explore quantum hydrodynamics in self-contained, isolated superfluids. However, exploring the dynamic properties of individual droplets is experimentally challenging. In this work, we used single-shot femtosecond x-ray coherent diffractive imaging investigate rotation single, superfluid helium-4 containing ~10(8) 10(11) atoms. The formation vortex lattices inside confirmed by observing characteristic Bragg patterns from xenon clusters...
Lensless x-ray microscopy requires the recovery of phase radiation scattered from a specimen. Here, we demonstrate de novo retrieval technique by encapsulating an object in superfluid helium nanodroplet, which provides both physical support and approximate scattering for iterative image reconstruction. The is robust, fast-converging, yields complex density immersed object. Images xenon clusters embedded droplets reveal transient configurations quantum vortices this fragile system.
The angular momentum of rotating superfluid droplets originates from quantized vortices and capillary waves, the interplay between which remains to be uncovered. Here, rotation isolated submicrometer $^{4}\mathrm{He}$ is studied by ultrafast x-ray diffraction using a free electron laser. patterns provide simultaneous access morphology vortex arrays they host. In capsule-shaped droplets, form distorted triangular lattice, whereas arrange along elliptical contours in ellipsoidal droplets....
Helium nanodroplets are considered ideal model systems to explore quantum hydrodynamics in self-contained, isolated superfluids. Rotation of a superfluid droplet is manifested as collection vortices. Here, the authors use single-shot femtosecond X-ray coherent diffractive imaging investigate shapes and vorticity rotating ${}^{4}$He droplets. They find that most diffraction contours exhibit noticeable ellipticity. A smaller but still significant number distorted marked by regions high...
The number of deaths from cardiovascular disease is projected to reach 23.3 million by 2030. As a contribution preventing this phenomenon, paper proposed machine learning (ML) model predict patients with arteriosclerotic heart (AHD). We also interpreted the prediction results based on ML approach and deployed modelagnostic methods identify informative features their interpretations.We used hematology Electronic Health Record (EHR) information erythrocytes, hematocrit, hemoglobin, mean...
Single He nanodroplets doped with Xe atoms are studied via ultrafast coherent x-ray diffraction imaging. The images show that rotating about 200 nm in diameter contain a small number of symmetrically arranged quantum vortices decorated clusters. Unexpected large distances the from droplet center (≈0.7–0.8 radii) explained by significant contribution dopants to total angular momentum droplets and stabilization widely spaced vortex configurations trapped clusters.Received 19 May 2015Revised 2...
Previous single-pulse extreme ultraviolet and x-ray coherent diffraction studies revealed that superfluid $^{4}\mathrm{He}$ droplets obtained in a free jet expansion acquire sizable angular momentum, resulting significant centrifugal distortion. Similar experiments with normal fluid $^{3}\mathrm{He}$ may help elucidate the origin of large degree rotational excitation highlight similarities differences dynamics droplets. Here, we present comparison shapes isolated following corresponding...
Strong-field ionization of nanoscale clusters provides excellent opportunities to study the complex correlated electronic and nuclear dynamics near-solid density plasmas. Yet, monitoring ultrafast, nanoscopic in real-time is challenging, which often complicates a direct comparison between theory experiment. Here, near-infrared laser-induced plasma ∼600 nm diameter helium droplets are studied by femtosecond time-resolved x-ray coherent diffractive imaging. An anisotropic, ∼20 wide surface...
The era of Industry 4.0 has created highly automated industries through advanced digital technologies, such as Internet Things, big data analytics, and visualization. latter technology been widely used in the form dashboards. A dashboard is a Business Intelligence (BI) tool that provides analytical information to be decision making by corporate executives business managers optimize performance systems processes. To support its Maintenance, Repair, Overhaul (MRO) industry, BI Dashboard was...
Advancements in x-ray free-electron lasers on producing ultrashort, ultrabright, and coherent pulses enable single-shot imaging of fragile nanostructures, such as superfluid helium droplets. This technique gives unique access to the sizes shapes individual In past, droplet characteristics have only been indirectly inferred by ensemble averaging techniques. Here, we report size distributions both pure doped droplets collected from produced free-jet expansion through a 5 μm diameter nozzle at...
Heart disease, also known as cardiovascular disease (CVDs) caused major death worldwide. couldcan be diagnosed using non-invasive and invasive methods. The main distinctions for tests were test use medical equipment entering the human body while did not. This study was designed a model prediction with an intelligent computational machine learning approach predicting early heart disease. Logistic regression stochastic gradient descent applied this model. A clinical dataset of 303 patients...
Digital banks make it easier for a society to grow financial inclusion.The lack of digital literacy makes people still skeptical about the security new technologies.This study aims examine impact banking on gen z in Indonesia.The method used this research is literature review from various libraries and databases (IEEE Explore, ScienceDirect, ResearchGate, Google Scholar, Scopus).The subject areas are limited "Digital Bank", "Gen Z" "Technology".The implementation Indonesia very significant...
Silver clusters were assembled in helium droplets of different sizes ranging from 104 to 1011 atoms. The heated upon laser irradiation at 355 nm, and evaporation dynamics He atoms studied by quadrupole mass spectroscopy using signals He+, He2+, He4+ splitter ions. We found that for containing less than 107 the leads However, breakup large into smaller ones.
Heart disease is the major cause of mortality worldwide. Clinical Decision Support System developed to measure risk level heart and detect using machine learning methods. Many cases showed that may not be detected until person encounters indications a disease. Hence, research goal construct compare coronary artery prediction model CART SVM. The identifies whether patient has or not. result shows SVM same performance accuracy 88,33%. For sensitivity, slightly better than While for specificity, CART.
Intense laser induced plasma dynamics in sub-micron scale helium droplets are monitored by femtosecond time-resolved X-ray coherent diffractive imaging. Anisotropic surface softening and strongly anisotropic shrinking of the core observed.
Organisasi membutuhkan sistem informasi untuk dapat mendukung proses bisnis, khususnya pada bank sebagai organisasi yang memiliki ketergantungan sistem. Penelitian ini akan menganalisa dan merancang aplikasi Credit Application System (CAS) membantu bisnis di Bank XYZ, terutama peminjaman kredit. Metode perancangan digunakan penelitian adalah metode waterfall, dipilih karena sudah memiki standard operational procedure tersusun rapi tidak ada perubahan besar diperlukan. Hasil analisa...
The purpose of this study was to develop an application for early heart disease prediction using a data mining approach. A clinical dataset 303 patients gathered from the UCI repository that available at http://archive.ics.uci.edu/ml/datasets/Heart+Disease. There were 13 attributes used classify patient into two class predictions namely No presence or Have disease. Machine learning with CART algorithm backend. Flask micro web framework middleware and Bootstrap frontend. experiment result...