Semantic representation and comparative analysis of physical activity sensor observations using MOX2-5 sensor in real and synthetic datasets: a proof-of-concept-study.

The widespread use of devices like mobile phones and wearables allows for automatic monitoring of human daily activities, generating vast datasets that offer insights into long-term human behavior. A structured and controlled data collection process is essential to unlock the full potential of this information. While wearable sensors for physical activity monitoring have gained significant traction in healthcare, sports science, and fitness applications, securing diverse and comprehensive datasets for research and algorithm development poses a notable challenge.

AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach.

Background: Automated coaches (eCoach) can help people lead a healthy lifestyle (e.g., reduction of sedentary bouts) with continuous health status monitoring and personalized recommendation generation with artificial intelligence (AI).

A systematic review and knowledge mapping on ICT-based remote and automatic COVID-19 patient monitoring and care.

Background: e-Health has played a crucial role during the COVID-19 pandemic in primary health care. e-Health is the cost-effective and secure use of Information and Communication Technologies (ICTs) to support health and health-related fields. Various stakeholders worldwide use ICTs, including individuals, non-profit organizations, health practitioners, and governments.

An automatic and personalized recommendation modelling in activity eCoaching with deep learning and ontology.

Electronic coaching (eCoach) facilitates goal-focused development for individuals to optimize certain human behavior. However, the automatic generation of personalized recommendations in eCoaching remains a challenging task. This research paper introduces a novel approach that combines deep learning and semantic ontologies to generate hybrid and personalized recommendations by considering "Physical Activity" as a case study.

Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation.

Leading a sedentary lifestyle may cause numerous health problems. Therefore, passive lifestyle changes should be given priority to avoid severe long-term damage. Automatic health coaching system may help people manage a healthy lifestyle with continuous health state monitoring and personalized recommendation generation with machine learning (ML).

ProHealth eCoach: user-centered design and development of an eCoach app to promote healthy lifestyle with personalized activity recommendations.

Background: Regular physical activity (PA), healthy habits, and an appropriate diet are recommended guidelines to maintain a healthy lifestyle. A healthy lifestyle can help to avoid chronic diseases and long-term illnesses. A monitoring and automatic personalized lifestyle recommendation system (i.

Personalized Recommendations for Physical Activity e-Coaching (OntoRecoModel): Ontological Modeling.

Background: Automatic e-coaching may motivate individuals to lead a healthy lifestyle with early health risk prediction, personalized recommendation generation, and goal evaluation. Multiple studies have reported on uninterrupted and automatic monitoring of behavioral aspects (such as sedentary time, amount, and type of physical activity); however, e-coaching and personalized feedback techniques are still in a nascent stage. Current intelligent coaching strategies are mostly based on the handcrafted string messages that rarely individualize to each user's needs, context, and preferences.

HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study.

Heterogeneity is a problem in storing and exchanging data in a digital health information system (HIS) following semantic and structural integrity. The existing literature shows different methods to overcome this problem. Fast healthcare interoperable resources (FHIR) as a structural standard may explain other information models, (e.

Meis1 supports leukemogenesis through stimulation of ribosomal biogenesis and Myc.

The homeobox transcription factors HoxA9 and Meis1 are causally involved in the etiology of acute myeloid leukemia. While HoxA9 alone immortalizes cells, cooperation with Meis1 is necessary to induce a full leukemic phenotype. Here, we applied degron techniques to elucidate the leukemogenic contribution of Meis1.

Applying Spring Security Framework with KeyCloak-Based OAuth2 to Protect Microservice Architecture APIs: A Case Study.

In this study, we implemented an integrated security solution with Spring Security and Keycloak open-access platform (SSK) to secure data collection and exchange over microservice architecture application programming interfaces (APIs). The adopted solution implemented the following security features: open authorization, multi-factor authentication, identity brokering, and user management to safeguard microservice APIs. Then, we extended the security solution with a virtual private network (VPN), Blowfish and crypt (Bcrypt) hash, encryption method, API key, network firewall, and secure socket layer (SSL) to build up a digital infrastructure.

Digital Interventions on Healthy Lifestyle Management: Systematic Review.

Background: Digital interventions have tremendous potential to improve well-being and health care conveyance by improving adequacy, proficiency, availability, and personalization. They have gained acknowledgment in interventions for the management of a healthy lifestyle. Therefore, we are reviewing existing conceptual frameworks, digital intervention approaches, and associated methods to identify the impact of digital intervention on adopting a healthier lifestyle.

An Automatic Ontology-Based Approach to Support Logical Representation of Observable and Measurable Data for Healthy Lifestyle Management: Proof-of-Concept Study.

Background: Lifestyle diseases, because of adverse health behavior, are the foremost cause of death worldwide. An eCoach system may encourage individuals to lead a healthy lifestyle with early health risk prediction, personalized recommendation generation, and goal evaluation. Such an eCoach system needs to collect and transform distributed heterogenous health and wellness data into meaningful information to train an artificially intelligent health risk prediction model.

Human Coaching Methodologies for Automatic Electronic Coaching (eCoaching) as Behavioral Interventions With Information and Communication Technology: Systematic Review.

Background: We systematically reviewed the literature on human coaching to identify different coaching processes as behavioral interventions and methods within those processes. We then reviewed how those identified coaching processes and the used methods can be utilized to improve an electronic coaching (eCoaching) process for the promotion of a healthy lifestyle with the support of information and communication technology (ICT).

Objective: This study aimed to identify coaching and eCoaching processes as behavioral interventions and the methods behind these processes.

The role of manikins in nursing students' learning: A systematic review and thematic metasynthesis.

Objectives: To summarise and synthesise findings from qualitative primary research studies of nursing students' experiences from educational activities using manikins to gain a deeper understanding of the role these manikins play in the students' learning.

Design And Data Sources: A systematic review and thematic metasynthesis were conducted. Cinahl+, Ovid Medline, ERIC and Embase were searched systematically.

Simulation of eHealth Scenarios with Role-Play Supported by an Interactive Smartphone Application.

The transformation and digitalization of health services foresees a need for recruiting individuals with the combined knowledge of technical and health sciences. Education of young people in the domain of eHealth is an important contribution in the on-going digital transformation process. In this context, the research project High School Students as Co-researchers in eHealth aims to introduce technology-supported health care scenarios and research methods to young students in the Southern region of Norway.

HoxA9 transforms murine myeloid cells by a feedback loop driving expression of key oncogenes and cell cycle control genes.

Ectopic expression of the oncogenic transcription factor HoxA9 is a major cause of acute myeloid leukemia (AML). Here, we demonstrate that HoxA9 is a specific substrate of granule proteases. Protease knockout allowed the comprehensive determination of genome-wide HoxA9 binding sites by chromatin immunoprecipitation sequencing in primary murine cells and a human AML cell line.

A systematic comparison and evaluation of three different Swept-Source interferometers for eye lengths biometry.

This study reviews the development of Swept-Source interferometers and compares systematically three different Swept-Source interferometer designs for biometric measurements of the eye. Principles characteristics, conveniences and accessibilities of the three developed systems are presented. The main difference between the three Swept-Source systems is the method of tuning the wavelength at the broadband optical amplifier.

Acute Cardiac Tamponade in a 58-Year-Old Male with Poststreptococcal Glomerulonephritis.

Pericarditis in conjunction with nephritis is an uncommon clinical scenario with a broad differential diagnosis. We present the case of a 58-year-old male who developed nephritis and pericardial effusion with tamponade physiology. In the following, we discuss the differential diagnosis for concomitant nephritis and pericarditis and discuss the work-up performed on our patient.

TD-PCI system based on an angle modulation for in vivo measurements of the human eye.

In this study, a "time domain" system based on a partial coherence interferometry method is presented. The classic technique of varying the reference arm using a linear motor is replaced by the use of a rotating glass cube. The theoretical definition of the variation of the optical path length and first measurements in a human model eye and a real human eye are presented.

Length measurement of the eye using a swept-source interferometer.

In this article, a swept-source setup based on a semiconductor optical amplifier at the central wavelength of 1050 nm for measurements of the axial length inside the eye is presented. The large coherence length is achieved using a tunable optical filter, consisting of a reflective diffraction grating, two Littrow prisms, and a scanner. It was possible to achieve a coherence length of 40 mm, which allowed interference measurements in this range to be made.

Beware of the B(e)all valve: mistaken valve identity, 30-year survival, and valve replacement.

Effective management of patients after the implantation of mechanical cardiac valves includes correct recognition of each valve and its related complications. Herein, we present the case of a patient who had undergone implantation of a floating-disc Beall-Surgitool mitral valve in 1976 and developed multiple valve-related complications. Over 30 years and in multiple medical centers, the device was mistakenly assumed to be a "ball" valve.

Successful direct thrombin injection of a femoral artery pseudoaneurysm in an anticoagulated patient with a mechanical mitral valve.

Femoral pseudoaneurysm is a complication of cardiac catheterization and may be related to the use of anticoagulants, antiplatelet agents, larger diameter sheaths and prolonged duration of sheath insertion. The treatment ranges from direct compression with or without direct thrombin injection to surgical repair. The present report describes a unique scenario of postcardiac catheterization femoral artery pseudoaneursym in a patient with a pre-existing mechanical mitral valve requiring anticoagulation.