Academic Articles & Research Papers

Benchmarking short-read germline structural variant calling highlights advantages of using ensembles of tools and small impact of graph genome alignment.

CRC-TrustBench: benchmarking cross-study and cross-country generalization in gut metagenomic colorectal cancer prediction.

Cohort-level proportions of low-grade glioma (WHO grades I-II) in mixed glioma cohorts: a single-arm meta-analysis for epidemiological benchmarking and clinical trial design.

Measuring what matters: case for a national benchmarking framework for neurological disparities research.

Modular multi-fidelity simulation framework for advanced sail-driven spacecraft control and dynamics in perturbation-rich regimes

This work presents a high-fidelity Software-in-the-Loop (SIL) simulation framework for the development and validation of control strategies for sail-driven spacecraft operating in Low Earth Orbit (LEO). The framework integrates NVIDIA Omniv...

Effectiveness and cost-effectiveness of community perinatal mental health services on access, experience, recovery/relapse and obstetric and neonate outcomes: the ESMI-II mixed-methods study

Background Perinatal mental health disorders affect one in five mothers during pregnancy or within 2 years post childbirth. These disorders can lead to poor pregnancy and childbirth outcomes and maternal deaths. Additionally, they negativel...

Materials Science and Engineering

The science-based stockpile stewardship program emphasizes a better understanding of how complex components function through advanced computer calculations. Many of the problem areas are in the behavior of materials making up the equipment....

Importance and performance evaluation tools for small and medium companies: critical analysis of national versus international literature

The research aims to map the importance and performance evaluation tools for small and medium companies. This descriptive and qualitative study analyzed 33 national articles and 21 international ones. Regarding the importance of performance...

Optimized Manufacture of Lyophilized Dermal Fibroblasts for Next-Generation Off-the-Shelf Progenitor Biological Bandages in Topical Post-Burn Regenerative Medicine

Cultured fibroblast progenitor cells (FPC) have been studied in Swiss translational regenerative medicine for over two decades, wherein clinical experience was gathered for safely managing burns and refractory cutaneous ulcers. Inherent FPC...

plsMD: a plasmid reconstruction tool from short-read assemblies

Abstract Background While whole genome sequencing has become a cornerstone of antimicrobial resistance surveillance, the reconstruction of plasmid sequences from short-read data remains a challenge due to repetitive sequences and assembly f...

MBPD: A multiple bacterial pathogen detection pipeline for One Health practices

Abstract Bacterial pathogens are one of the major threats to biosafety and environmental health, and advanced assessment is a prerequisite to combating bacterial pathogens. Currently, 16S rRNA gene sequencing is efficient in the open‐view d...

Evaluation of Indicators for the Realization of the Development of Public-Oriented Urban Transportation (Study Case: District 11 of Tehran)

Transit-Oriented Development (TOD) represents a significant facet of sustainable urban planning aimed at addressing urban traffic challenges through the strategic expansion of public transportation systems. District 11 within the municipali...

Benchmarking spiking neurons for linear quadratic regulator control of multi-linked pole on a cart: from single neuron to ensemble

The emerging field of neuromorphic computing for edge control applications poses the need to quantitatively estimate and limit the number of spiking neurons, to reduce network complexity and optimize the number of neurons per core and hence...

Application-Oriented Performance Benchmarks for Quantum Computing

In this work we introduce an open source suite of quantum application-oriented performance benchmarks that is designed to measure the effectiveness of quantum computing hardware at executing quantum applications. These benchmarks probe a qu...

Quantum machine learning of large datasets using randomized measurements

Quantum computers promise to enhance machine learning for practical applications. Quantum machine learning for real-world data has to handle extensive amounts of high-dimensional data. However, conventional methods for measuring quantum ker...

Adaptive low-rank variational quantum algorithm for simulating dissipative dynamics in photosynthetic complexes

Abstract Simulating open quantum system dynamics via exact density-matrix propagation faces exponential complexity, scaling as $$\mathcal{O}(4^n)$$ and becoming intractable beyond approximately 15 chromophores on classical hardware—despite ...

Proposal for demonstration of long-range cluster state entanglement in the presence of photon loss

Photonic cluster states are a crucial resource for optical quantum computing. Recently a quantum dot single photon source has been demonstrated to produce strings of single photons in a small linear cluster state. Sources of this kind could...

Benchmarking optimization algorithms for automated calibration of quantum devices

We present the results of a comprehensive study of optimization algorithms for the calibration of quantum devices. As part of our ongoing efforts to automate bring-up, tune-up, and system identification procedures, we investigate a broad ra...

Quantum Paradox: Redefining Secure Communication With Quantum and Post-Quantum Cryptographic Breakthroughs

The rapid advancement of quantum computing, exemplified by Shor’s and Grover’s algorithms, poses an existential threat to the Rivest-Shamir-Adleman algorithm, elliptic curve cryptography, and symmetric encryption. This paper p...

Quantum resources of quantum and classical variational methods

Variational techniques have long been at the heart of atomic, solid-state, and many-body physics. They have recently extended to quantum and classical machine learning, providing a basis for representing quantum states via neural networks. ...