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WaterHCI (Water-Human-Computer Interaction) is a field of study and practice focusing on the design and creation of interactive devices, systems, and experiences at the intersection of water, humans, and technology. It is a relatively new field that originated in Ontario, Canada, in the 1960s, and was further developed at University of Toronto through a series of annual (de)conferences from 1998 to present. This year, at our 24th annual WaterHCI (de)conference, we focus our attention on ideas for creating spaces and places (e.g. Ontario-Placemaking\tma) that combine fun and frolic with health and wellbeing, nature and spirituality, research and teaching, and innovation, where we can touch and be touched by water.

Supplemental material, sj-pdf-1-imr-10.1177_03000605221126880 for Target temperature management versus normothermia without temperature feedback systems for out-of-hospital cardiac arrest survivors by Hui Jai Lee, Jonghwan Shin, Kyoung Min You, Woon Yong Kwon, Kyung Su Kim, You Hwan Jo, Seung Min Park in Journal of International Medical Research

Human space exploration beyond low Earth orbit will involve missions of significant distance and duration. To effectively mitigate myriad space health hazards, paradigm shifts in data and space health systems are necessary to enable Earth-independence, rather than Earth-reliance. Promising developments in the fields of artificial intelligence and machine learning for biology and health can address these needs. We propose an appropriately autonomous and intelligent Precision Space Health system that will monitor, aggregate, and assess biomedical statuses; analyze and predict personalized adverse health outcomes; adapt and respond to newly accumulated data; and provide preventive, actionable, and timely insights to individual deep space crew members and iterative decision support to their crew medical officer. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration, on future applications of artificial intelligence in space biology and health. In the next decade, biomonitoring technology, biomarker science, spacecraft hardware, intelligent software, and streamlined data management must mature and be woven together into a Precision Space Health system to enable humanity to thrive in deep space., 31 pages, 4 figures

Water-Human-Computer Interface (WaterHCI), or, more generally, Fluidic-User-Interface (i.e. including other fluids) is a relatively new concept and field of inquiry that originated in Canada, in the 1960s and 1970s, and was further developed at University of Toronto 1998 to present. We provide taxonomies of the various kinds of water-human interaction, identify important past, present, and future contributions and trends in WaterHCI from around the world, and identify grand challenges of this new discipline.

This study was created to assess whether a 30-mm depth of chest compression (CC) is sufficient and safe for neonatal cardiopulmonary resuscitation. This retrospective analysis was performed with chest computed tomography scans of neonates in 2 hospitals between 2004 and 2018. We measured several chest parameters and calculated heart compression fraction (HCF) using the ejection fraction formula. We evaluated whether one-third of the external anterior-posterior (AP) diameter and HCF with them are the equivalent to 25-, 30-, 35 mm and HCF with them, respectively, and the number of individuals with over-compression (internal chest AP diameter − compressed depth

Additional file 2: Table S1. Comparison of baseline characteristics between patients of KoCARC registry and the study cohort.

Space biology research aims to understand fundamental effects of spaceflight on organisms, develop foundational knowledge to support deep space exploration, and ultimately bioengineer spacecraft and habitats to stabilize the ecosystem of plants, crops, microbes, animals, and humans for sustained multi-planetary life. To advance these aims, the field leverages experiments, platforms, data, and model organisms from both spaceborne and ground-analog studies. As research is extended beyond low Earth orbit, experiments and platforms must be maximally autonomous, light, agile, and intelligent to expedite knowledge discovery. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration on artificial intelligence, machine learning, and modeling applications which offer key solutions toward these space biology challenges. In the next decade, the synthesis of artificial intelligence into the field of space biology will deepen the biological understanding of spaceflight effects, facilitate predictive modeling and analytics, support maximally autonomous and reproducible experiments, and efficiently manage spaceborne data and metadata, all with the goal to enable life to thrive in deep space., Comment: 28 pages, 4 figures

Overlimiting current (OLC) through electrolytes interfaced with perm-selective membranes has been extensively researched in recent years for understanding the fundamental mechanisms of transport and developing efficient applications from electrochemistry to sample analysis and separation. Predominant mechanisms responsible for OLC include surface conduction, convection by electro-osmotic flow, and electro-osmotic instability depending on input parameters such as surface charge and geometric constrictions. This work studies how a network of microchannels in a non-uniform array, which mimicks a natural pore configuration, can contribute to OLC. To this end, micro/nanofluidic devices are fabricated with arrays of parallel microchannels with non-uniform size distributions. All cases maintain the same surface and bulk conduction to allow probing the sensitivity only by the non-uniformity of the channels. Both experimental and theoretical current-voltage relations demonstrate that OLCs increase with increasing non-uniformity. Furthermore, the visualization of internal recirculating flows indicates that the non-uniform arrays induce flow loops across the network enhancing advective transport. These evidences confirm a new driving mechanism of OLC, inspired by natural micro/nanoporous materials with random geometric structure. Therefore, this result can advance not only the fundamental understanding of nanoelectrokinetics but also the design rule of engineering applications of electrochemical membrane.

본 연구의 목적은 입학사정관제를 통해 입학한 학생들과 일반전형으로 입학한 신입생들의 입학 후 1년여간의 대학생활 과정 동안의 경험과, 이 과정에 개재한 요인들이 무엇인지에 대해 탐구하고, 대학교육에서의 전형별 추수지도에 대한 시사점을 얻기 위한 것이다. 이를 위해 서울의 한 대학에 입학한 신입생 중 입학사정관 전형 신입생 7명과 일반전형 신입생 6명을 대상으로 심층면접을 실시하고, 근거이론 접근방법을 통해 분석, 비교하였다. 연구결과, 입학사정관 전형 신입생의 핵심범주는 “목표를 향한 노력을 통해 자기성장의 길로 접어듦”으로 나타났고, 일반전형 신입생들의 핵심범주는 ‘방황의 시기를 지나 구체적인 진로 탐색의 길로 접어 듦’으로 도출되었다. 입학사정관제 신입생들과 일반전형 신입생들간에 가장 뚜렷하게 나타난 차이는 ‘목표의식’ 측면이었다. 입학사정관 전형 학생들은 대부분 자신의 진로에 대한 뚜렷한 목표의식을 가지고 준비하여 입학하였고, 대학생활 과정에서 이 목표들이 더 구체화 되어간다고 진술하였다. 반면 일반전형 학생들에게서는 목표의식이 있는 경우와 목표가 아직 모호한 상태로 있는 경우, 그리고 목표를 수정하는 경우 등 목표의식에 있어 갈등하고 고민하는 양상이 입학사정관제 학생들에 비해 더 많이 보고되었다. 또한 목표의식이 뚜렷하지 않을수록 아쉬움과 무의미감이 더 두드러지게 경험되는 것으로 나타났다. 이상의 연구결과를 바탕으로, 입학사정관제 신입생과 일반전형 신입생들의 입학 후 학습측면, 진로목표 설정 측면, 생활적응 측면에 대한 대학의 교육적 개입에 주는 시사점을 논의하였다.

Integrated molecular diagnostic systems ( iMDx), which are automated, sensitive, specific, user-friendly, robust, rapid, easy-to-use, and portable, can revolutionize future medicine. This review will first focus on the components of sample extraction, preservation, and filtration necessary for all point-of-care devices to include for practical use. Subsequently, we will look for low-powered and precise methods for both sample amplification and signal transduction, going in-depth to the details behind their principles. The final field of total device integration and its application to the clinical field will also be addressed to discuss the practicality for future patient care. We envision that microfluidic systems hold the potential to breakthrough the number of problems brought into the field of medical diagnosis today.