1,721,034 research outputs found
Sulphurous-arsenical-ferruginous (thermal) water inhalations reduce nasal respiratory resistance and improve mucociliary clearance in patients with chronic sinonasal disease: preliminary outcomes.
CONCLUSIONS:
In order to confirm these preliminary results, a prospective double-blind study has been instituted in Padova University ENT Section to compare the efficacy of sulphurous-arsenical-ferruginous thermal water nasal irrigations vs isotonic sodium chloride solution nasal irrigations after functional endoscopic sinus surgery for chronic sinusitis.
OBJECTIVES:
Despite their widespread use, much uncertainty exists about the indications and therapeutic mechanisms of nasal thermal water inhalations in the treatment of sinonasal chronic disease. The aim of the present study was to evaluate the effects of sulphurous-arsenical-ferruginous thermal water inhalations on nasal respiratory flow, mucociliary transport, nasal cytology, and chemo-physics of nasal mucus in a group of consecutive patients with chronic sinonasal disease.
PATIENTS AND METHODS:
Thirty-seven patients with chronic sinonasal disease underwent a 12-day course of sulphurous-arsenical-ferruginous thermal water warm vapour inhalations (38 degrees C) followed by nasal aerosol of the same thermal water (7 microns micelle).
RESULTS:
This preliminary study showed that a course of sulphurous-arsenical-ferruginous thermal water inhalations determined a significant improvement in nasal flow and reduction of nasal resistance; a statistically significant reduction of mean mucociliary transport time, from pathologic to physiologic values, has also been shown. Statistical analysis of our data confirmed that the presence of nasal bacteria was significantly reduced by thermal water inhalations
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Development of a Smart Chair Sensors System and Classification of Sitting Postures with Deep Learning Algorithms
Nowadays in modern societies, a sedentary lifestyle is almost inevitable for a majority of the population. Long hours of sitting, especially in wrong postures, may result in health complications. A smart chair with the capability to identify sitting postures can help reduce health risks induced by a modern lifestyle. This paper presents the design, realization and evaluation of a new smart chair sensors system capable of sitting postures identification. The system consists of eight pressure sensors placed on the chair's sitting cushion and the backrest. A signal acquisition board was designed from scratch to acquire data generated by the pressure sensors and transmit them via a Wi-Fi network to a purposely developed graphical user interface which monitors and stores the acquired sensors' data on a computer. The designed system was tested by means of an extensive sitting experiment involving 40 subjects, and from the acquired data, the classification of the respective sitting postures out of eight possible postures was performed. Hereby, the performance of seven deep-learning algorithms was assessed. The best accuracy of 91.68% was achieved by an echo memory network model. The designed smart chair sensors system is simple and versatile, low cost and accurate, and it can easily be deployed in several smart chair environments, both for public and private contexts
Combined modality treatment in locally advanced oropharyngeal squamous carcinoma: new perpectives and controversies in selected case report
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Necrotizing Fasciitis Of The Posterior Cervical Compartment: An Atypical Case Due To Streptococcus Agalactiae
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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