5,567 results match your criteria Acm Transactions On Computer Systems[Journal]

DeepCPPred: a deep learning framework for the discrimination of cell-penetrating peptides and their uptake efficiencies.

IEEE/ACM Trans Comput Biol Bioinform 2021 Aug 4;PP. Epub 2021 Aug 4.

Cell-penetrating peptides (CPPs) are special kind of peptides capable of carrying variety of bioactive molecules such as genetic materials, short interfering RNA and nanoparticles into cell. In recent era, research on CPP has gained substantial interest from researchers to analyze its biological mechanisms for safe drug delivery agents and therapeutic application. Identifying CPP through traditional methods is extremely slow, overpriced and laborious, particularly due to large volume of unannotated peptide sequences accumulating in World Bank repository. Read More

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Essential Protein Recognition via Community Significance.

IEEE/ACM Trans Comput Biol Bioinform 2021 Aug 4;PP. Epub 2021 Aug 4.

Essential protein plays a vital role in understanding the cellular life. With the advance in high-throughput technologies, a number of protein-protein interaction (PPI) networks have been constructed such that essential proteins can be identified from a system biology perspective. Although a series of network-based essential protein discovery methods have been proposed, these existing methods still have some drawbacks. Read More

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Extracellular vesicles from immortalized cardiosphere-derived cells attenuate arrhythmogenic cardiomyopathy in desmoglein-2 mutant mice.

Eur Heart J 2021 Jul 29. Epub 2021 Jul 29.

Smidt Heart Institute, Cedars-Sinai Medical Center, 127 S. San Vicente Boulevard, Los Angeles, CA 90048, USA.

Aims: Arrhythmogenic cardiomyopathy (ACM) is characterized by progressive loss of cardiomyocytes, and fibrofatty tissue replacement. Extracellular vesicles (EVs) secreted by cardiosphere-derived cells, immortalized, and engineered to express high levels of β-catenin, exert anti-inflammatory, and anti-fibrotic effects. The aim of the current study was to assess efficacy of EVs in an ACM murine model. Read More

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Role of Deep Learning in Early Detection of COVID-19: Scoping Review.

Comput Methods Programs Biomed Update 2021 Jul 30:100025. Epub 2021 Jul 30.

College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.

  Since the onset of the COVID-19 pandemic the world witnessed disruption on an unprecedented scale affecting our daily lives including but not limited to healthcare, business, education, and transportation. Deep Learning (DL) is a branch of Artificial intelligence (AI) applications, the recent growth of DL includes features that could be helpful in fighting the COVID-19 pandemic.. Read More

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SAQ: semi-algebraic quartet reconstruction.

IEEE/ACM Trans Comput Biol Bioinform 2021 Aug 2;PP. Epub 2021 Aug 2.

We present the phylogenetic quartet reconstruction method SAQ (Semi-Algebraic Quartet reconstruction). SAQ is consistent with the most general Markov model of nucleotide substitution and, in particular, it allows for rate heterogeneity across lineages. Based on the algebraic and semi-algebraic description of distributions that arise from the general Markov model on a quartet, the method outputs normalized weights for the three trivalent quartets (which can be used as input of quartet-based methods). Read More

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A systematic review of automatic text summarization for biomedical literature and EHRs.

J Am Med Inform Assoc 2021 Aug 2. Epub 2021 Aug 2.

Carolina Health Informatics Program, University of North Carolina, Chapel Hill, North Carolina, USA.

Objective: Biomedical text summarization helps biomedical information seekers avoid information overload by reducing the length of a document while preserving the contents' essence. Our systematic review investigates the most recent biomedical text summarization researches on biomedical literature and electronic health records by analyzing their techniques, areas of application, and evaluation methods. We identify gaps and propose potential directions for future research. Read More

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Desmoplakin cardiomyopathy and arrhythmogenic right ventricular cardiomyopathy: two distinct forms of cardiomyopathy?

Minerva Cardiol Angiol 2021 Aug 2. Epub 2021 Aug 2.

Molecular Cardiology, Istituti Clinici Scientifici Maugeri, IRCCS, Pavia, Italy -

The confirmation of a hypothesis that desmoplakin-related (DSP) cardiomyopathy could represent a distinct clinical entity from the classical, RV-dominant, form of arrhythmogenic cardiomyopathy (ACM), most frequently caused by PKP2 mutations, would without any shadow of doubt signify a turning point in the history of this disease. The concept of gene-specific diseases underneath the umbrella diagnosis of ACM would bring fundamental changes not only in the clinical, diagnostic and therapeutic approach, but also in terms of risk stratification, pushing the scientific community towards a more patient-centred view of the disease, similarly to what has already been done in other inherited arrhythmogenic disease (e.g. Read More

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Multimodal Automatic Coding of Client Behavior in Motivational Interviewing.

Proc ACM Int Conf Multimodal Interact 2020 Oct;2020:406-413

Institute for Creative Technologies, University of Southern California, Los Angeles, CA, USA.

Motivational Interviewing (MI) is defined as a collaborative conversation style that evokes the client's own intrinsic reasons for behavioral change. In MI research, the clients' attitude (willingness or resistance) toward change as expressed through language, has been identified as an important indicator of their subsequent behavior change. Automated coding of these indicators provides systematic and efficient means for the analysis and assessment of MI therapy sessions. Read More

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October 2020

A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders.

ACM Trans Comput Healthc 2021 Jan 30;2(1). Epub 2020 Dec 30.

Texas A&M University, USA.

Cardiovascular disorders cause nearly one in three deaths in the United States. Short- and long-term care for these disorders is often determined in short-term settings. However, these decisions are made with minimal longitudinal and long-term data. Read More

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January 2021

Breaking the Accessibility Barrier in Non-Visual Interaction with PDF Forms.

Proc ACM Hum Comput Interact 2020 Jun 18;4(EICS). Epub 2020 Jun 18.

Stony Brook University, Stony Brook, NY, USA.

PDF forms are ubiquitous. Businesses big and small, government agencies, health and educational institutions and many others have all embraced PDF forms. People use PDF forms for providing information to these entities. Read More

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Indirectly-Supervised Anomaly Detection of Clinically-Meaningful Health Events from Smart Home Data.

ACM Trans Intell Syst Technol 2021 Mar 11;12(2):1-18. Epub 2021 Feb 11.

Washington State University.

Anomaly detection techniques can extract a wealth of information about unusual events. Unfortunately, these methods yield an abundance of findings that are not of interest, obscuring relevant anomalies. In this work, we improve upon traditional anomaly detection methods by introducing Isudra, an Indirectly-Supervised Detector of Relevant Anomalies from time series data. Read More

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A Survey of Unsupervised Deep Domain Adaptation.

ACM Trans Intell Syst Technol 2020 Sep 5;11(5):1-46. Epub 2020 Jul 5.

Washington State University, USA.

Deep learning has produced state-of-the-art results for a variety of tasks. While such approaches for supervised learning have performed well, they assume that training and testing data are drawn from the same distribution, which may not always be the case. As a complement to this challenge, single-source unsupervised domain adaptation can handle situations where a network is trained on labeled data from a source domain and unlabeled data from a related but different target domain with the goal of performing well at test-time on the target domain. Read More

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September 2020

Health information technology to support cancer survivorship care planning: A systematic review.

J Am Med Inform Assoc 2021 Aug 1. Epub 2021 Aug 1.

Lineberger Comprehensive Cancer Outcomes Program, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Objective: The study sought to conduct a systematic review to explore the functions utilized by electronic cancer survivorship care planning interventions and assess their effects on patient and provider outcomes.

Materials And Methods: Based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines, studies published from January 2000 to January 2020 were identified in PubMed, CINAHL, EMBASE, PsychINFO, Scopus, Web of Science, and the ACM Digital Library. The search combined terms for cancer, survivorship, care planning, and health information technology (HIT). Read More

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Identification of functional microbial modules through network-based analysis of meta-microbial features using matrix factorization.

IEEE/ACM Trans Comput Biol Bioinform 2021 Jul 30;PP. Epub 2021 Jul 30.

As the microbiome is composed of a variety of microbial interactions, it is imperative in microbiome research to identify a microbial sub-community that collectively conducts a specific function. However, current methodologies have been highly limited to analyzing conditional abundance changes of individual microorganisms without considering group-wise collective microbial features. To overcome this limitation, we developed a network-based method using nonnegative matrix factorization (NMF) to identify functional meta-microbial features (MMFs) that, as a group, better discriminate specific environmental conditions of samples using microbiome data. Read More

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The Fast Health Interoperability Resources (FIHR) Standard: Systematic Literature Review of Implementations, Applications, Challenges and Opportunities.

JMIR Med Inform 2021 Jul 30;9(7):e21929. Epub 2021 Jul 30.

Department of Computer Engineering, Faculty of Computer Science, Universitas Sriwijaya, Palembang, Indonesia.

Background: Information technology has shifted paper-based documentation in the health care sector into a digital form, in which patient information is transferred electronically from one place to another. However, there remain challenges and issues to resolve in this domain owing to the lack of proper standards, the growth of new technologies (mobile devices, tablets, ubiquitous computing), and health care providers who are reluctant to share patient information. Therefore, a solid systematic literature review was performed to understand the use of this new technology in the health care sector. Read More

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Modeling Two Dimensional Touch Pointing.

Proc ACM Symp User Interface Softw Tech 2020 Oct 20;2020:858-868. Epub 2020 Oct 20.

Department of Computer Science, Stony Brook University, Stony Brook, NY, United States.

Modeling touch pointing is essential to touchscreen interface development and research, as pointing is one of the most basic and common touch actions users perform on touchscreen devices. Finger-Fitts Law [4] revised the conventional Fitts' law into a 1D (one-dimensional) pointing model for finger touch by explicitly accounting for the fat finger ambiguity (absolute error) problem which was unaccounted for in the original Fitts' law. We generalize Finger-Fitts law to 2D touch pointing by solving two critical problems. Read More

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October 2020

Physical activity volume in patients with arrhythmogenic cardiomyopathy is associated with recurrence after ventricular tachycardia ablation.

J Interv Card Electrophysiol 2021 Jul 27. Epub 2021 Jul 27.

Arrhythmology Unit and Clinical Electrophysiology Laboratories, Ospedale San Raffaele, IRCCS San Raffaele Scientific Institute, Milan, Italy.

Purpose: To assess the role of intense physical activity (PA) on recurrence after ventricular tachycardia (VT) ablation in arrhythmogenic cardiomyopathy (ACM).

Methods: We retrospectively analyzed 63 patients with definite diagnosis of ACM who underwent to catheter ablation (CA) of VT. PA was quantified in METs per week by IPAQ questionnaire in 51 patients. Read More

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COVID-19 in the Clinic: Human Testing of an Aerosol Containment Mask for Endoscopic Clinic Procedures.

Otolaryngol Head Neck Surg 2021 Jul 27:1945998211029184. Epub 2021 Jul 27.

Caruso Department of Otolaryngology-Head and Neck Surgery, Keck School of Medicine of University of Southern California, Los Angeles, California, USA.

Objective: To create an aerosol containment mask (ACM) for common otolaryngologic endoscopic procedures that also provides nanoparticle-level protection to patients.

Study Design: Prospective feasibility study .

Setting: In-person testing with a novel ACM. Read More

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Genetic analysis of coronary artery disease using tree-based automated machine learning informed by biology-based feature selection.

IEEE/ACM Trans Comput Biol Bioinform 2021 Jul 26;PP. Epub 2021 Jul 26.

Machine Learning (ML) approaches are increasingly being used in biomedical applications. Important challenges of ML include choosing the right algorithm and tuning the parameters for optimal performance. Automated ML (AutoML) methods, such as Tree-based Pipeline Optimization Tool (TPOT), have been developed to take some of the guesswork out of ML thus making this technology available to users from more diverse backgrounds. Read More

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TFIDF-Random Forest: Prediction of Aptamer-Protein Interacting Pairs.

IEEE/ACM Trans Comput Biol Bioinform 2021 Jul 26;PP. Epub 2021 Jul 26.

Aptamers are short, single-stranded oligonucleotides or peptides generated from in vitro selection to selectively bind with various molecules. Due to their molecular recognition capability for proteins, aptamers are becoming promising reagents in new drug development. Aptamers can fold into specific spatial configuration that bind to certain targets with extremely high specificity. Read More

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Minimum functional length analysis of k-mer based on BP neural network.

IEEE/ACM Trans Comput Biol Bioinform 2021 Jul 26;PP. Epub 2021 Jul 26.

BP neural network (BPNN), as a multilayer feed-forward network, can realize the deep cognition to target data and high accuracy to output results. However, there were still no related research of k-mer based on BPNN yet. In present study, BPNN was used to train and test binary classification data of each classification mode respectively. Read More

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Just-in-time Adaptive Mechanisms of Popular Mobile Applications for Individuals with Depression: Systematic Review.

J Med Internet Res 2021 Jul 26. Epub 2021 Jul 26.

Centre for Digital Health Interventions, Department of Management, Technology, and Economics, ETH Zurich, Weinbergstrasse 56/58, Zurich, CH.

Background: There is an increasing number of smartphone applications (apps) focusing on prevention, treatment, and diagnosis of depression. A promising approach to increase the effectiveness while reducing the individual's burden is the use of just-in-time adaptive intervention (JITAI) mechanisms. JITAIs are designed to improve the effectiveness of the intervention and reduce the burden of the person using the intervention by providing the right type of support at the right time. Read More

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The Work of Workplace Disclosure: Invisible Chronic Conditions and Opportunities for Design.

Proc ACM Hum Comput Interact 2021 Apr;5

University of Maryland, USA.

Health disclosure at work is complicated for people with invisible chronic conditions. Due to the lack of visible symptoms, invisible conditions affect the work life of people in ways that are not obvious to others. This study examines how people disclose and conceal their conditions in the workplace and opens the design space for this topic. Read More

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Dignity, Autonomy, and Style of Company: Dimensions Older Adults Consider for Robot Companions.

Proc ACM Hum Comput Interact 2021 Apr;5

Monash University, Australia.

Research into companion robots for older adults, including those who are socially isolated and lonely, continues to grow. Although some insight into older adults' preferences for various robotic types and functionality is emerging, we lack research examining how these robots fulfil or challenge a range of values and aspirations individuals have in later life. This study examines the attitudes and perspectives of 16 older adults (aged 65+) living independently but alone in their own homes, who were interviewed and shown videos depicting three distinctive companion robots: a talking assistant; a roving toylike vehicle; and a robotic dog. Read More

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White Blood Cell Counts to High-Density Lipoprotein Cholesterol Ratio, as a Novel Predictor of Long-Term Adverse Outcomes in Patients After Percutaneous Coronary Intervention: A Retrospective Cohort Study.

Front Cardiovasc Med 2021 8;8:616896. Epub 2021 Jul 8.

Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.

White blood cell (WBC) counts and high-density lipoprotein cholesterol (HDL-C) are widely available in clinical practice. However, the predictive value for cardiovascular disease (CVD) is uncertain. In the present study, we firstly assessed the prognostic value of WBC to HDL-C ratio (WHR) in patients with coronary artery disease (CAD) who underwent percutaneous coronary intervention (PCI). Read More

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Towards Knowledge Maintenance in Scientific Digital Libraries with the Keystone Framework.

Proc ACM/IEEE Joint Conf Digit Libr 2020 Aug 1;2020:217-226. Epub 2020 Aug 1.

School of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL USA.

Scientific digital libraries speed dissemination of scientific publications, but also the propagation of invalid or unreliable knowledge. Although many papers with known validity problems are highly cited, no auditing process is currently available to determine whether a citing paper's findings fundamentally depend on invalid or unreliable knowledge. To address this, we introduce a new framework, the keystone framework, designed to identify when and how citing unreliable findings impacts a paper, using argumentation theory and citation context analysis. Read More

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Characterization of Ventricular and Atrial Cardiomyocyte Subtypes from Human-Induced Pluripotent Stem Cells.

Methods Mol Biol 2021 ;2320:135-149

Center for iPS Cell Research and Application, Kyoto University, Kyoto, Japan.

Human iPSC-derived cardiomyocytes (hiPSC-CMs) are expected to be used in regenerative therapies and drug discovery for heart failure. hiPSC-CMs are a mixture of mainly ventricular CMs (VCMs) and also of atrial CMs (ACMs) and pacemaker cells. Here we describe a method to enrich VCM and ACM differentiation and to characterize these subtypes by gene expression analysis using qRT-PCR and by electrophysiological properties using the patch-clamp method. Read More

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January 2021

A Qualitative Approach to Help Adjust the Design of Management Subjects in ICT Engineering Undergraduate Programs through User Experience in a Smart Classroom Context.

Sensors (Basel) 2021 Jul 12;21(14). Epub 2021 Jul 12.

Faculty of Law, Universidad de Deusto, 48007 Bilbao, Spain.

Qualitative research activities, including first-day of class surveys and user experience interviews on completion of a subject were carried out to obtain students' feedback in order to improve the design of the subject 'Information Systems' as a part of a general initiative to enhance ICT (Information and Communication Technologies) engineering programs. Due to the COVID-19 (corona virus disease 2019) pandemic, La Salle URL adopted an Emergency Remote Teaching tactical solution in the second semester of the 2019-2020 academic year, just before implementing a strategic learning approach based on a new Smart Classroom (SC) system deployed in the campus facilities. The latter solution was developed to ensure that both on-campus and off-campus students could effectively follow the course syllabus through the use of new technological devices introduced in classrooms and laboratories, reducing the inherent difficulties of online learning. Read More

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