Publications by authors named "Minh C Tran"

A universal quantum computer can simulate diverse quantum systems, with electronic structure for chemistry offering challenging problems for practical use cases around the hundred-qubit mark. Although current quantum processors have reached this size, deep circuits and a large number of measurements lead to prohibitive runtimes for quantum computers in isolation. Here, we demonstrate the use of classical distributed computing to offload all but an intrinsically quantum component of a workflow for electronic structure simulations.

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The prevalence of recessive disorder carriers among Vietnamese women is still indistinct. This study aims to assess the prevalence of carriers for common autosomal recessive and X-linked conditions among Vietnamese pregnant women and to identify common mutations within these genes. A cross-sectional study was conducted with 8,464 Vietnamese pregnant women with indications for carrier screening tests for recessive disorders from November 2022 to August 2023 at the Institute of DNA Technology and Genetic Analysis.

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Background: Direct oral anticoagulants (DOACs) are the standard treatment for stroke prevention in AF. However, high-quality head-to-head comparisons of DOACs are lacking. This study compared oral anticoagulants in patients with AF.

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A minor ischemic stroke is associated with a higher likelihood of poor clinical outcomes at 90 days when there is early neurological deterioration (END). The objective of this case-control study conducted in a comprehensive stroke facility in Vietnam is to examine the frequency, forecast, and outcomes of patients with END in minor strokes. The study employs a descriptive observational design, longitudinally tracking patients with minor strokes admitted to Bach Mai Hospital's Stroke Center between December 1, 2023, and August 31, 2024.

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Introduction: Early neurological deterioration (END) is a forecast factor in poor outcomes in minor strokes. END's prevalence and forecast factors in minor strokes caused by small artery occlusion (SAO) are still unclear.

Patients And Method: We retrospectively analyzed 451 patients with minor stroke (NIHSS ≤ 5) caused by SAO hospitalized within an initial 24 h at BachMai Hospital's stroke center.

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Background: Stroke is a significant health burden in Vietnam, with substantial impacts on mortality, morbidity, and healthcare resources. An up-to-date report on stroke epidemiology and associated risk factors in Vietnam was missing.

Method: We analyzed the data published in the Global Burden of Disease (GBD) 2019, in combination with the first-time analysis of the Registry of Stroke Care Quality Improvement (RES-Q) initiative in Vietnam from 2017 to 2023.

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The prevalence and predictors of mortality following an ischemic stroke or intracerebral hemorrhage have not been well established among patients in Vietnam. 2885 consecutive diagnosed patients with ischemic stroke and intracerebral hemorrhage at ten stroke centres across Vietnam were involved in this prospective study. Posthoc analyses were performed in 2209 subjects (age was 65.

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Article Synopsis
  • ARDS is a severe respiratory failure condition with poor oxygenation, and recent advancements in machine learning offer new ways to classify and manage it.
  • A systematic review analyzed 243 studies published between 2009 and 2023, focusing on machine learning applications for ARDS, with 52 studies selected for in-depth review.
  • The findings indicate that gradient boosting is the most frequently used method, while a more extensive dataset is necessary for neural networks to be effective; improving the explainability and validation of models with clinician input is essential for better management of ARDS.
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Article Synopsis
  • * A case-control study at a stroke center in Vietnam aims to explore the frequency, predictors, and outcomes of END among patients with minor strokes, defined by an NIHSS score of 5 or less.
  • * The study anticipates a 30% END rate and plans to follow 779 patients from December 2023 to December 2024, aiming to identify factors that influence END, which may aid in improving minor stroke management.
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The inspired sinewave technique (IST) is a non-invasive method to measure lung heterogeneity indices (including both uneven ventilation and perfusion or heterogeneity), which reveal multiple conditions of the lung and lung injury. To evaluate the reproducibility and predicted clinical outcomes of IST heterogeneity values, a comparison with a quantitative lung computed tomography (CT) scan is performed. Six anaesthetised pigs were studied after surfactant depletion by saline-lavage.

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The exploration of topologically-ordered states of matter is a long-standing goal at the interface of several subfields of the physical sciences. Such states feature intriguing physical properties such as long-range entanglement, emergent gauge fields and non-local correlations, and can aid in realization of scalable fault-tolerant quantum computation. However, these same features also make creation, detection, and characterization of topologically-ordered states particularly challenging.

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Human sleep is cyclical with a period of approximately 90 minutes, implying long temporal dependency in the sleep data. Yet, exploring this long-term dependency when developing sleep staging models has remained untouched. In this work, we show that while encoding the logic of a whole sleep cycle is crucial to improve sleep staging performance, the sequential modelling approach in existing state-of-the-art deep learning models are inefficient for that purpose.

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Intestinal obstruction due to ligament (fibrous band) arising from the top of Meckel's diverticulum is a rare cause. To date, in the world, only a few cases have been reported and there are not enough statistics on the incidence of this disease. This case presentation will help doctors working in the field of pediatric surgery or of pediatric imaging diagnosis have more experiences on diagnosis and treatment, and enrich the medical literature on this rare disease.

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We investigate different scenarios of interaction between two beyond-band discrete solitons (BBDSs), which are a new class of solitons in binary waveguide arrays and have been investigated just recently. In the quasi-continuous regime when solitons intensity is low and, thus, solitons are broad, two BBDSs with the same envelope in binary waveguide arrays interact with each other practically like two well-known fundamental solitons governed by the nonlinear Schrödinger equation in a single optical fiber. However, this similarity disappears if the discrete nature of the system is enhanced by increasing the intensity of BBDSs.

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We classify phases of a bosonic lattice model based on the computational complexity of classically simulating the system. We show that the system transitions from being classically simulable to classically hard to simulate as it evolves in time, extending previous results to include on-site number-conserving interactions and long-range hopping. Specifically, we construct a complexity phase diagram with easy and hard "phases" and derive analytic bounds on the location of the phase boundary with respect to the evolution time and the degree of locality.

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We analytically and numerically investigate beyond-band discrete solitons, which present a completely new class of stable localized out-gap solitons with detunings being located beyond the two bands of the linear plane waves in a periodic binary waveguide array. Each of the even and odd components of these discrete solitons does not change its sign across the transverse direction of the binary waveguide array. The even and odd components of these newly found discrete solitons can be approximately presented by two hyperbolic secant functions with the only difference in their peaks.

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Background: The manufacturing of any standard mechanical ventilator cannot rapidly be upscaled to several thousand units per week, largely due to supply chain limitations. The aim of this study was to design, verify and perform a pre-clinical evaluation of a mechanical ventilator based on components not required for standard ventilators, and that met the specifications provided by the Medicines and Healthcare Products Regulatory Agency (MHRA) for rapidly-manufactured ventilator systems (RMVS).

Methods: The design utilises closed-loop negative feedback control, with real-time monitoring and alarms.

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Patients undergoing mechanical lung ventilation are at risk of lung injury. A noninvasive bedside lung monitor may benefit these patients. The Inspired Sinewave Test (IST) can measure cardio-pulmonary parameters noninvasively.

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Background: The possibility of accurately and continuously measuring arterial oxygen partial pressure (PaO ) in horses may facilitate the management of hypoxaemia during general anaesthesia.

Objectives: The aim of this study was to evaluate the ability of a novel fibreoptic sensor to measure PaO (PaO ) continuously and in real time in horses undergoing ventilatory manoeuvres during general anaesthesia.

Study Design: In vivo experimental study.

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The Lieb-Robinson theorem states that information propagates with a finite velocity in quantum systems on a lattice with nearest-neighbor interactions. What are the speed limits on information propagation in quantum systems with power-law interactions, which decay as 1/r^{α} at distance r? Here, we present a definitive answer to this question for all exponents α>2d and all spatial dimensions d. Schematically, information takes time at least r^{min{1,α-2d}} to propagate a distance r.

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We present an optimal protocol for encoding an unknown qubit state into a multiqubit Greenberger-Horne-Zeilinger-like state and, consequently, transferring quantum information in large systems exhibiting power-law interactions. For all power-law exponents between and , where is the dimension of the system, the protocol yields a polynomial speed-up for and a superpolynomial speed-up for , compared to the state of the art. For all , the protocol saturates the Lieb-Robinson bounds (up to subpolynomial corrections), thereby establishing the optimality of the protocol and the tightness of the bounds in this regime.

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Automating sleep staging is vital to scale up sleep assessment and diagnosis to serve millions experiencing sleep deprivation and disorders and enable longitudinal sleep monitoring in home environments. Learning from raw polysomnography signals and their derived time-frequency image representations has been prevalent. However, learning from multi-view inputs (e.

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Background: There is marked variability in the symptoms and outcomes of patients with chronic obstructive pulmonary disease (COPD) which are poorly predicted by spirometry/FEV. Furthermore, as spirometry requires the performance of potentially distressing respiratory manoeuvres which are to some extent user-effort dependent, there is need for non-invasive and simple-to-perform techniques to identify subtypes of COPD which are more closely related to clinically relevant outcomes.

Materials And Methods: The inspired sinewave test (IST) sinusoidally modulates the inspired concentration of a tracer gas (NO) over successive tidal breaths.

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