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Assessment of Heart Failure Patients' Interest in Mobile Health Apps for Self-Care: Survey Study.
BackgroundHeart failure is a serious public health concern that afflicts millions of individuals in the United States. Development of behaviors that promote heart failure self-care may be imperative to reduce complications and avoid hospital re-admissions. Mobile health solutions, such as activity trackers and smartphone apps, could potentially help to promote self-care through remote tracking and issuing reminders.ObjectiveThe objective of this study was to ascertain heart failure patients' interest in a smartphone app to assist them in managing their treatment and symptoms and to determine factors that influence their interest in such an app.MethodsIn the clinic waiting room on the day of their outpatient clinic appointments, 50 heart failure patients participated in a self-administered survey. The survey comprised 139 questions from previously published, institutional review board-approved questionnaires. The survey measured patients' interest in and experience using technology as well as their function, heart failure symptoms, and heart failure self-care behaviors. The Minnesota Living with Heart Failure Questionnaire (MLHFQ) was among the 11 questionnaires and was used to measure the heart failure patients' health-related quality of life through patient-reported outcomes.ResultsParticipants were aged 64.5 years on average, 32% (16/50) of the participants were women, and 91% (41/45) of the participants were determined to be New York Heart Association Class II or higher. More than 60% (30/50) of the survey participants expressed interest in several potential features of a smartphone app designed for heart failure patients. Participant age correlated negatively with interest in tracking, tips, and reminders in multivariate regression analysis (P<.05). In contrast, MLHFQ scores (worse health status) produced positive correlations with these interests (P<.05).ConclusionsThe majority of heart failure patients showed interest in activity tracking, heart failure symptom management tips, and reminder features of a smartphone app. Desirable features and an understanding of factors that influence patient interest in a smartphone app for heart failure self-care may allow researchers to address common concerns and to develop apps that demonstrate the potential benefits of mobile technology
Learning Disentangled Prompts for Compositional Image Synthesis
We study domain-adaptive image synthesis, the problem of teaching pretrained
image generative models a new style or concept from as few as one image to
synthesize novel images, to better understand the compositional image
synthesis. We present a framework that leverages a pretrained class-conditional
generation model and visual prompt tuning. Specifically, we propose a novel
source class distilled visual prompt that learns disentangled prompts of
semantic (e.g., class) and domain (e.g., style) from a few images. Learned
domain prompt is then used to synthesize images of any classes in the style of
target domain. We conduct studies on various target domains with the number of
images ranging from one to a few to many, and show qualitative results which
show the compositional generalization of our method. Moreover, we show that our
method can help improve zero-shot domain adaptation classification accuracy.Comment: tech repor
Jede Art Vervielfältigung vorbehalten [Material gráfico]
Contenido parcial: II. Umilu ; III. Arce ; IV. Álamo negro ; VI. Abedul blanco ; VII. Fresno ; VIII. Castaño de Indias ; IX. Olivo ; X. Pino ; XII. Alerce ; XIV. Plátano ; XVI. Abedul blanco ; XVII. Manzano ; XIX. Haya ; XXI. Cerezo ; XXII. Ciruelo ; XXIV. Castaño ; XXVV. AcaciaTit. de las láminas tomados del verso de las mismasFechas deducidas de la actividad del editorLáminas murales de cartulina con refuerzos metálico
An Empirical Assessment of A-Share IPO Under-Pricing in China
This paper investigates the under-pricing and long-run performance of 230 A-share IPOs issued in the Chinese markets using comparable firm multiples. We find that A-share IPOs are severely under-valued by issuers and underwriters at the offer, but over-valued by investors on the listing
day. Both contribute to the severe under-pricing of IPOs in China. Our findings
are robust across stock exchanges, classification of firms, criteria for
choosing matching firms; absence of CSRC regulation and B-share market prices, respectively. The results also show that those over-valued IPOs by investors on the listing day under-perform those under-valued IPOs in the long-run
New and Improved Diagnostics for Detection of Drug-Resistant Pulmonary Tuberculosis.
PURPOSE OF REVIEW: Tuberculosis (TB) remains a global emergency and continues to kill 1.7 million people globally each year. Drug-resistant TB is now well established throughout the world and most TB patients are not being screened for drug resistance due to lack of laboratory resources and rapid accurate point-of-care tests. Accurate and rapid diagnosis of TB and drug-resistant TB is of paramount importance in establishing appropriate clinical management and infection control measures. During the past decade, there have been significant advances in diagnostic technologies for TB and drug-resistant TB. The purpose of this article is to review the current data, recommendations and evidence base for these tests. RECENT FINDINGS: Second-line drug susceptibility testing (DST) is complex and expensive. Automated liquid culture systems and molecular line probe assays are recommended by the WHO as the current 'gold standard' for first-line DST. Liquid culture DST for aminoglycosides, polypeptides and fluoroquinolones has been shown to have relatively good reliability and reproducibility for diagnosis of extensively drug-resistant TB; however, DST for other second-line drugs (ethionamide, prothionamide, cycloserine, terizidone, para-aminosalicylic acid, clofazimine, amoxicillin-clavulanate, clarithromycin, linezolid) is not recommended. Automated liquid culture systems are currently recommended by the WHO as the 'gold standard' for second-line DST. SUMMARY: In this review, we describe the phenotypic and genotypic methods currently available for the diagnosis of TB and drug-resistant forms of Mycobacterium tuberculosis and discuss future prospects for TB diagnostics. Current technologies for the detection of drug resistant M. tuberculosis vary greatly in terms of turnaround time, cost and complexity. Ultimately, the 'holy grail' diagnostic for TB must fulfil all technical specifications for a good point-of-care test, screen for drug resistance concurrently and be adaptable to the various health system levels and to countries with diverse economic status and TB burden. © 2011 Lippincott Williams & Wilkins, Inc
The assessment of the near infrared identification of Carbon stars. I. The Local Group galaxies WLM, IC 10 and NGC 6822
{The selection of AGB C and M stars from NIR colours has been done in recent
years using adjustable criteria that are in needs of standardization if one
wants to compare, in a coherent manner, properties of various populations.} We
intend to assess the NIR colour technique to identify C and M stars. We compare
the NIR colours of several C stars previously identified from spectroscopy or
narrow band techniques in WLM, IC 10 and NGC 6822. We demonstrate that very few
M stars have but a non negligible number of C stars are bluer
than this limit. Thus, counts of M and C stars based on such limit do not
produce pure samples. C/M ratios determined from NIR colours must be regarded
as underestimates mainly because the M numbers include many warm C stars and
also K stars if no blue limit is considered.Comment: A&A accepted 18.07.200
Application of Social Network Analysis to Health Care Sectors
Objectives: This study aimed to examine the feasibility of social network analysis as a valuable research tool for indicating a change in research topics in health care and medicine. Methods: Papers used in the analysis were collected from the PubMed database at the National Library of Medicine. After limiting the search to papers affiliated with the National Institutes of Health, 27,125 papers were selected for the analysis. From these papers, the top 100 non-duplicate and most studied Medical Subject Heading terms were extracted. NetMiner V.3 was used for analysis. Weighted degree centrality was applied to the analysis to compare the trends in the change of research topics. Changes in the core keywords were observed for the entire group and in three-year intervals. Results: The core keyword with the highest centrality value was “Risk Factor, ” followed b
Near-infrared properties of asymptotic giant branch stars in nearby dwarf elliptical Galaxy NGC 205
We investigated the distribution of resolved asymptotic giant branch (AGB)
stars over a much larger area than covered by previous near-infrared studies in
the nearby dwarf elliptical galaxy NGC 205. Using data obtained with the WIRCam
near-infrared imager of the CFHT, we selected the AGB stars in the JHKs
color-magnitude diagrams, and separated the C stars from M-giant stars in the
JHKs color-color diagram. We identified 1,550 C stars in NGC 205 with a mean
absolute magnitude of M_Ks = -7.49 \pm 0.54, and colors of (J - Ks) = 1.81 \pm
0.41 and (H - Ks) = 0.76 \pm 0.24. The ratio of C stars to M-giant stars was
estimated to be 0.15 \pm 0.01 in NGC 205, and the local C/M ratios for the
southern region are somewhat lower than those for the northern region. The (J -
Ks) color distributions of AGB stars contain the main peak of the M-giant stars
and the red tail of the C stars. A comparison of the theoretical isochrone
models with the observed color distribution indicates that most of the bright
M-giant stars in NGC 205 were formed at log(t_yr) \sim 9.0-9.7. The logarithmic
slope of the M_Ks luminosity function for M-giant stars was estimated to be
0.84 \pm 0.01, which is comparable with dwarf elliptical galaxies NGC 147 and
NGC 185. Furthermore, we found that the logarithmic slopes of the M_Ks
luminosity function for C and M-giant stars are different to places, implying a
different star formation history within NGC 205. The bolometric luminosity
function for M-giant stars extends to M_bol = -6.0 mag, and that for C stars
spans -5.6 < M_bol < -3.0. The bolometric luminosity function of C stars is
unlikely to be a Gaussian distribution and the mean bolometric magnitude of C
stars is estimated to be M_bol = -4.24 \pm 0.55, which is consistent with our
results for dwarf elliptical galaxies NGC 147 and NGC 185.Comment: 11 pages, 11 figures, accepted for publication in A&
Optical chemosensors and reagents to detect explosives
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Using novel fluorescent polymers as sensory materials for above-ground sensing of chemical signature compounds emanating from buried landmines. IEEE Transactions on Geoscience and Remote Sensing, 39(6), 1119-1128. doi:10.1109/36.927423Toal, S. J., & Trogler, W. C. (2006). Polymer sensors for nitroaromatic explosives detection. Journal of Materials Chemistry, 16(28), 2871. doi:10.1039/b517953jMcQuade, D. T., Pullen, A. E., & Swager, T. M. (2000). Conjugated Polymer-Based Chemical Sensors. Chemical Reviews, 100(7), 2537-2574. doi:10.1021/cr9801014Zhou, Q., & Swager, T. M. (1995). Method for enhancing the sensitivity of fluorescent chemosensors: energy migration in conjugated polymers. Journal of the American Chemical Society, 117(26), 7017-7018. doi:10.1021/ja00131a031Yang, J.-S., & Swager, T. M. (1998). Porous Shape Persistent Fluorescent Polymer Films: An Approach to TNT Sensory Materials. 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Understanding the implementation of evidence-based care: A structural network approach
<p>Abstract</p> <p>Background</p> <p>Recent study of complex networks has yielded many new insights into phenomenon such as social networks, the internet, and sexually transmitted infections. The purpose of this analysis is to examine the properties of a network created by the 'co-care' of patients within one region of the Veterans Health Affairs.</p> <p>Methods</p> <p>Data were obtained for all outpatient visits from 1 October 2006 to 30 September 2008 within one large Veterans Integrated Service Network. Types of physician within each clinic were nodes connected by shared patients, with a weighted link representing the number of shared patients between each connected pair. Network metrics calculated included edge weights, node degree, node strength, node coreness, and node betweenness. Log-log plots were used to examine the distribution of these metrics. Sizes of k-core networks were also computed under multiple conditions of node removal.</p> <p>Results</p> <p>There were 4,310,465 encounters by 266,710 shared patients between 722 provider types (nodes) across 41 stations or clinics resulting in 34,390 edges. The number of other nodes to which primary care provider nodes have a connection (172.7) is 42% greater than that of general surgeons and two and one-half times as high as cardiology. The log-log plot of the edge weight distribution appears to be linear in nature, revealing a 'scale-free' characteristic of the network, while the distributions of node degree and node strength are less so. The analysis of the k-core network sizes under increasing removal of primary care nodes shows that about 10 most connected primary care nodes play a critical role in keeping the <it>k</it>-core networks connected, because their removal disintegrates the highest <it>k</it>-core network.</p> <p>Conclusions</p> <p>Delivery of healthcare in a large healthcare system such as that of the US Department of Veterans Affairs (VA) can be represented as a complex network. This network consists of highly connected provider nodes that serve as 'hubs' within the network, and demonstrates some 'scale-free' properties. By using currently available tools to explore its topology, we can explore how the underlying connectivity of such a system affects the behavior of providers, and perhaps leverage that understanding to improve quality and outcomes of care.</p
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