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Weight-perception-based fixed and variable admittance control algorithms for unimanual and bimanual lifting of objects with a power assist robotic system

S M Mizanoor Rahman, Ryojun Ikeura • International Journal of Advanced Robotic Systems (2018)

Weight-perception-based fixed admittance control algorithm and variable admittance control algorithm are proposed for unimanual and bimanual lifting of objects with a power assist robotic system. To include weight perception in controls, th...

DOAJ Open Access (DOAJ) DOI: 10.1177/1729881416678131

Lower Bounds for Dynamic Programming on Planar Graphs of Bounded Cutwidth

Bas van Geffen, Bart Jansen, Arnoud de Kroon, Rolf Morel • Journal of Graph Algorithms and Applications (2020)

Many combinatorial problems can be solved in time $\mathcal{O}^*(c^{\mathrm{tw}})$ on graphs of treewidth $\mathrm{tw}$, for a problem-specific constant $c$. In several cases, matching upper and lower bounds on $c$ are known based on the St...

DOAJ Open Access (DOAJ) DOI: 10.7155/jgaa.00542

Introduction to Mathematical Logic.

Angelo Margaris, Alonzo Church • American Mathematical Monthly (1957)

is sometimes called the foundation of mathematics: the logician studies the kinds of reasoning used in the individual steps of a proof. Alonzo Church was a pioneer in the field of mathematical logic, whose contributions to number theory and...

OPENALEX DOI: https://doi.org/10.2307/2310410

Analysis of factors affecting the length of stay of patients using clustering and association rules (Case study: Amir al-Momenin Hospital, Maragheh)

Mahdi Yousefi Nejad, Karim Farajian, Hossein Jaleb • مدیریت مهندسی و رایانش نرم (2025)

One of the major indicators in evaluating the performance of hospitals and their managers is the average length of stay of patients; given the importance of this indicator, the present study has examined the factors affecting the length of ...

DOAJ Open Access (DOAJ) DOI: 10.22091/jemsc.2025.11174.1195

Determinantal Sieving

Eduard Eiben, Tomohiro Koana, Magnus Wahlström • TheoretiCS (2025)

We introduce determinantal sieving, a new, remarkably powerful tool in the toolbox of algebraic FPT algorithms. Given a polynomial $P(X)$ on a set of variables $X=\{x_1,\ldots,x_n\}$ and a linear matroid $M=(X,\mathcal{I})$ of rank $k$, bot...

DOAJ Open Access (DOAJ) DOI: 10.46298/theoretics.25.21

Neurotoxicity of PM<sub>2.5</sub>-Bound Multi-Pollutant Mixtures in Parkinson’s Disease: Exploring the <i>INPP5D</i>/SHIP1-PI3K-AKT Axis via an Integrative Multi-Omics Study

Lufei Chen, Chaoxian Dai, Zhenfang Wu, Yuhan Lin et al. • Journal of Xenobiotics (2026)

Accumulating epidemiological evidence links ambient PM2.5 exposure to elevated Parkinson’s disease (PD) risk, yet the neurotoxicity triggered by PM2.5 multi-pollutant mixtures under real co-exposure scenarios remains insufficiently elucidat...

DOAJ Open Access (DOAJ) DOI: 10.3390/jox16060184

Health Technology Assessment in Osteoporosis

Mickaël Hiligsmann, John А. Kanis, Juliet Elizabeth Compston, Cyrus C. Cooper et al. • Calcified Tissue International (2013)

We review the various aspects of health technology assessment in osteoporosis, including epidemiology and burden of disease, and assessment of the cost-effectiveness of recent advances in the treatment of osteoporosis and the prevention of ...

OPENALEX cc-by DOI: https://doi.org/10.1007/s00223-013-9724-8 PMC: 3696176

Evolutionary Algorithms in Health Technologies

Sai Ho Ling, Hak‐Keung Lam • Algorithms (2019)

Health technology research brings together complementary interdisciplinary research skills in the development of innovative health technology applications. Recent research indicates that artificial intelligence can help achieve outstanding ...

OPENALEX cc-by DOI: https://doi.org/10.3390/a12100202

ACHENY: A standard Chenopodiaceae image dataset for deep learning models

Ahmad Heidary-Sharifabad, Mohsen Sardari Zarchi, Sima Emadi, Gholamreza Zarei • Data in Brief (2021)

This paper contains datasets related to the “Efficient Deep Learning Models for Categorizing Chenopodiaceae in the wild” (Heidary-Sharifabad et al., 2021). There are about 1500 species of Chenopodiaceae that are spread worldwide and often a...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2021.107478

Data Mining Techniques in Medical Informatics

U. Rajendra Acharya, Wenwei Yu • The Open Medical Informatics Journal (2010)

The advent of high-performance computing has benefited various disciplines in finding practical solutions to their problems, and our health care is no exception to this.Signal processing, image processing, and data mining tools have been de...

OPENALEX cc-by-nc DOI: https://doi.org/10.2174/1874431101004010021 PMC: 2916206

Real-World Evaluation of AI-Driven Diabetic Retinopathy Screening in Public Health Settings: Validation and Implementation Study

Mona Duggal, Anshul Chauhan, Vishali Gupta, Ankita Kankaria et al. • JMIR Medical Informatics (2025)

Abstract BackgroundArtificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagno...

DOAJ Open Access (DOAJ) DOI: 10.2196/67529

G-Aligner: a graph-based feature alignment method for untargeted LC–MS-based metabolomics

Ruimin Wang, Miaoshan Lu, Shaowei An, Jinyin Wang et al. • BMC Bioinformatics (2023)

Abstract Background Liquid chromatography–mass spectrometry is widely used in untargeted metabolomics for composition profiling. In multi-run analysis scenarios, features of each run are aligned into consensus features by feature alignment ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12859-023-05525-4

Performance of computational algorithms to deconvolve heterogeneous bulk ovarian tumor tissue depends on experimental factors

Ariel A. Hippen, Dalia K. Omran, Lukas M. Weber, Euihye Jung et al. • Genome Biology (2023)

Abstract Background Single-cell gene expression profiling provides unique opportunities to understand tumor heterogeneity and the tumor microenvironment. Because of cost and feasibility, profiling bulk tumors remains the primary population-...

DOAJ Open Access (DOAJ) DOI: 10.1186/s13059-023-03077-7

Behavioral dataset for Long-Evans and its schizophrenia-like substrain through several generations

Gábor Kőrösi, Oliver Czimbalmos, Gabriella Kekesi, Gyongyi Horvath • Scientific Data (2026)

Abstract We present a high-throughput behavioral dataset acquired with Ambitus, an automated reward-based corridor system that records locomotor and exploratory activities and cognitive functions after minimal handling. The collection conta...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41597-026-06735-0

Artificial intelligence–aided diagnosis model for acute respiratory distress syndrome combining clinical data and chest radiographs

Kai-Chih Pai, Wen-Cheng Chao, Yu-Len Huang, Ruey-Kai Sheu et al. • Digital Health (2022)

Objective The aim of this study was to develop an artificial intelligence–based model to detect the presence of acute respiratory distress syndrome (ARDS) using clinical data and chest X-ray (CXR) data. Method The transfer learning method w...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076221120317