Modeling Users of Crisis Training Environments by Integrating Psychological and Physiological Data

2011 ◽  
pp. 79-88 ◽  
Author(s):  
Gabriella Cortellessa ◽  
Rita D’Amico ◽  
Marco Pagani ◽  
Lorenza Tiberio ◽  
Riccardo De Benedictis ◽  
...  
Keyword(s):  
Physiological Data

A Tale of Two Colons and Two Cancers

Swiss Surgery ◽  
2003 ◽  
Vol 9 (1) ◽  
pp. 3-7 ◽  
Author(s):  
Gervaz ◽  
Bühler ◽  
Scheiwiller ◽  
Morel
Keyword(s):  
Colorectal Cancer ◽  
Colon Cancer ◽  
Adjuvant Chemotherapy ◽  
Splenic Flexure ◽  
Chromosomal Instability ◽  
Proximal Colon ◽  
Colorectal Carcinogenesis ◽  
Physiological Data ◽  
Central Hypothesis ◽  
Group Stratification

The central hypothesis explored in this paper is that colorectal cancer (CRC) is a heterogeneous disease. The initial clue to this heterogeneity was provided by genetic findings; however, embryological and physiological data had previously been gathered, showing that proximal (in relation to the splenic flexure) and distal parts of the colon represent distinct entities. Molecular biologists have identified two distinct pathways, microsatellite instability (MSI) and chromosomal instability (CIN), which are involved in CRC progression. In summary, there may be not one, but two colons and two types of colorectal carcinogenesis, with distinct clinical outcome. The implications for the clinicians are two-folds; 1) tumors originating from the proximal colon have a better prognosis due to a high percentage of MSI-positive lesions; and 2) location of the neoplasm in reference to the splenic flexure should be documented before group stratification in future trials of adjuvant chemotherapy in patients with stage II and III colon cancer.

An investigation of immersiveness in virtual reality exposure using physiological data

2002 ◽  
Author(s):  
D. P. Jang ◽  
B. K. Wiederhold ◽  
S. B. McGehee ◽  
E. Durso ◽  
M. D. Wiederhold ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Physiological Data ◽  
Virtual Reality Exposure

The Effects of Day-to-Day Variability of Physiological Data on Operator Functional State Classification

2013 ◽  
Author(s):  
James C. Christensen ◽  
Justin R. Estepp ◽  
Glenn F. Wilson ◽  
Christopher A. Russell ◽  
Krystal M. Thomas
Keyword(s):  
Functional State ◽  
Physiological Data ◽  
State Classification ◽  
Operator Functional State

Brain Evidence in Nursing Research: EEG Methodology

2020 ◽  
Vol 10 (1) ◽  
pp. 98-101
Author(s):  
Yueh-O Chuang ◽  
Ren-Jen Hwang
Keyword(s):  
Emotional Health ◽  
Physiological Data ◽  
Evidence Based ◽  
Nursing Research ◽  
Healthy Behaviors ◽  
Alpha Asymmetry ◽  
Role Of Nursing ◽  
Brain Behavior ◽  
Evidence Based Nursing ◽  
The Brain

This aim of the mini-review paper is to introduction the bio-physiologic measures of resting state EEG for nursing scientist. Article specifically addresses the emotional domain as clarified by concepts of brain evidence-based nursing research reviewed that the emotion aspect documented a strong link to frontal brain alpha activities asymmetry.  Extensive nursing research has been performed in emotional, behavioral, and/or psychological matters for healthy and unhealthy populations. Evidence-based nursing can transform the way that data is used to improve health and healthcare. One core role of nursing practice is to promote healthy behaviors. Previous researches have shown out that the brain is the main ambassador of behavioral change. The electroencephalogram (EEG) is an efficient tool to study brain-behavior relations. Evidences show that frontal alpha asymmetry is an important marker suggests that EEG is beneficial for assessment emotional capacities and appraises nursing efficiency. The basic resting alpha frontal asymmetry provides a reliable instrument in conducting nursing researches in order to strengthen the quality of nursing. Furthermore, we provide a viewpoint to show progress in the novel research issue probably for clinical applications. To integrate biological measures in order to gain highly accurate and precise advantages of EEG and beneficial assessment of the emotional capacities are suggested. Nursing promotes healthy behaviors including emotional health. Human behavior changes originate in the brain. EEG enables objective and biological insights into the cognitive process. As a foundation, the neuroscience research requires profound knowledge and tools to analyze bio-physiological data. Creating Cross-disciplinary cooperation must be inevitable alliances to advance nursing research.

Deep Learning in the Study of Protein-Related Interactions

2020 ◽  
Vol 27 (5) ◽  
pp. 359-369 ◽  
Author(s):  
Cheng Shi ◽  
Jiaxing Chen ◽  
Xinyue Kang ◽  
Guiling Zhao ◽  
Xingzhen Lao ◽  
...  
Keyword(s):  
Deep Learning ◽  
Protein Interactions ◽  
Physiological Data ◽  
Great Promise ◽  
Complex Data ◽  
Protein Protein Interactions ◽  
Learning Patterns ◽  
Introductory Overview ◽  
Protein Research ◽  
Neural Network Theory

: Protein-related interaction prediction is critical to understanding life processes, biological functions, and mechanisms of drug action. Experimental methods used to determine proteinrelated interactions have always been costly and inefficient. In recent years, advances in biological and medical technology have provided us with explosive biological and physiological data, and deep learning-based algorithms have shown great promise in extracting features and learning patterns from complex data. At present, deep learning in protein research has emerged. In this review, we provide an introductory overview of the deep neural network theory and its unique properties. Mainly focused on the application of this technology in protein-related interactions prediction over the past five years, including protein-protein interactions prediction, protein-RNA\DNA, Protein– drug interactions prediction, and others. Finally, we discuss some of the challenges that deep learning currently faces.

Introduction to biometric measures for Games User Research

2018 ◽  
Author(s):  
Lennart E. Nacke
Keyword(s):  
Physiological Data ◽  
Biometric Data ◽  
User Research ◽  
Academic Practice ◽  
The Past ◽  
Informed Decisions ◽  
Trade Offs ◽  
Research Questions ◽  
Industry Professionals

This chapter presents the physiological metrics used in Games User Research (GUR). Aimed at GUR professionals in the games industry, it explains what methods are available to researchers to measure biometric data while subjects are engaged in play. It sets out when it is appropriate to use biometric measures in GUR projects, the kind of data generated, and the differing ways it can be analysed. The chapter also discusses the trade-offs required when interpreting physiological data, and will help games researchers to make informed decisions about which research questions can benefit from biometric methodologies. As the equipment needed to collect biometric data becomes more sophisticated as well as cheaper, physiological testing of players during a game’s development will become more common. At the same time, Games User Researchers will become more discriminating in its use. Where in the past professionals in the games industry have used biometric testing to generate quick, actionable feedback about player responses to elements of a game, and have been less concerned with the scientific robustness of their methodology, as GUR develops a new breed of games industry professionals are attempting to deploy good academic practice in their researches.

The Vascular Structure of the Kidney of Mallards and Doves

1999 ◽  
Vol 5 (S2) ◽  
pp. 1192-1193
Author(s):  
H. Ditrich
Keyword(s):  
Vascular System ◽  
Venous Drainage ◽  
Portal System ◽  
Physiological Data ◽  
Vascular Structure ◽  
Serial Sections ◽  
Functional Importance ◽  
Additional Material ◽  
Functional Studies ◽  
Primitive Feature

The architecture of the kidney of birds (and also reptiles) is, unlike in mammalians, mainly determined by the organization of the blood vascular system. Besides arterial supply and venous drainage, the renal portal system forms a main structural component. While the latter was often regarded as a “primitive” feature in the literature, morphological and physiological data reveal its great functional importance.Microvascular corrosion casts studied in the scanning electron microscope permit the visualization of minute vessels, retaining their 3D-arrangement. Additionally, when compared with graphical reconstructions of serial sections, this method avoids several inherent artifacts like fixation and dehydration shrinkage as well as the compression of the object by the sectioning blade. Most of the studies on avian kidneys with this technique used the domestic chicken as a model. In order to provide additional material for comparative and functional studies, data on the intrarenal vascular structure of other species are required.

scholarly journals Data-driven modelling approach to circadian temperature rhythm profiles in free-living conditions

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jari Lipsanen ◽  
Liisa Kuula ◽  
Marko Elovainio ◽  
Timo Partonen ◽  
Anu-Katriina Pesonen
Keyword(s):  
Skin Surface ◽  
Living Conditions ◽  
Data Driven ◽  
Physiological Data ◽  
Free Living ◽  
Physiological Level ◽  
Temperature Rhythm ◽  
Time Series Modelling ◽  
Circadian Preference ◽  
Free Living Conditions

AbstractThe individual variation in the circadian rhythms at the physiological level is not well understood. Albeit self-reported circadian preference profiles have been consolidated, their premises are grounded on human experience, not on physiology. We used data-driven, unsupervised time series modelling to characterize distinct profiles of the circadian rhythm measured from skin surface temperature in free-living conditions. We demonstrate the existence of three distinct clusters of individuals which differed in their circadian temperature profiles. The cluster with the highest temperature amplitude and the lowest midline estimating statistic of rhythm, or rhythm-adjusted mean, had the most regular and early-timed sleep–wake rhythm, and was the least probable for those with a concurrent delayed sleep phase, or eveningness chronotype. While the clusters associated with the observed sleep and circadian preference patterns, the entirely unsupervised modelling of physiological data provides a novel basis for modelling and understanding the human circadian functions in free-living conditions.

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