scholarly journals COVID-19 Pandemic and Telephone Triage before Attending Medical Office: Problem or Opportunity?

Medicina ◽  
2020 ◽  
Vol 56 (5) ◽  
pp. 250 ◽  
Author(s):  
Gabriele Cervino ◽  
Giacomo Oteri

During the COVID-19 emergency, the medical operating protocols have been largely modified for reducing any type of contamination risk, for working in a safe way and for making the patient feel in a safe environment. Telemedicine, smart phones and apps could represent important devices for the community, in order to prevent virus trasmission and to perform quick diagnosis and management at medical offices. This manuscript could be useful for clinicians with regard to the current state of the effectiveness of the telephone triage in this COVID-19 epidemic period. Therefore, it could be an important starting point for future perspectives about telemedicine and virtual patient management.

Medicina ◽  
2019 ◽  
Vol 55 (12) ◽  
pp. 778 ◽  
Author(s):  
Luca Fiorillo

Invasive dental procedures can be performed only with local anesthesia; in some cases, it may be useful to combine the administration of drugs to obtain anxiolysis with local anesthesia. Sedation required level should be individually adjusted to achieve a proper balance between the needs of the patient, the operator, and the safety of the procedure. Surgical time is an important factor for post-operative phases, and this could be greatly increased by whether the patient interrupts the surgeon or if it is not collaborative. In this manuscript some dentistry-used methods to practice conscious sedation have been evaluated. This manuscript could be a useful reading on the current state of conscious sedation in dentistry and an important starting point for future perspectives. Surely the search for safer drugs for our patients could have beneficial effects for them and for the clinicians.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Jing Wui Yeoh ◽  
Neil Swainston ◽  
Peter Vegh ◽  
Valentin Zulkower ◽  
Pablo Carbonell ◽  
...  

Abstract Advances in hardware automation in synthetic biology laboratories are not yet fully matched by those of their software counterparts. Such automated laboratories, now commonly called biofoundries, require software solutions that would help with many specialized tasks such as batch DNA design, sample and data tracking, and data analysis, among others. Typically, many of the challenges facing biofoundries are shared, yet there is frequent wheel-reinvention where many labs develop similar software solutions in parallel. In this article, we present the first attempt at creating a standardized, open-source Python package. A number of tools will be integrated and developed that we envisage will become the obvious starting point for software development projects within biofoundries globally. Specifically, we describe the current state of available software, present usage scenarios and case studies for common problems, and finally describe plans for future development. SynBiopython is publicly available at the following address: http://synbiopython.org.


2016 ◽  
Vol 44 (3) ◽  
pp. 239-253 ◽  
Author(s):  
Stefan Fennrich ◽  
Ulrike Hennig ◽  
Leila Toliashvili ◽  
Christian Schlensak ◽  
Hans Peter Wendel ◽  
...  

Author(s):  
Santiago García

With the rapid development of smart phones, tablets and their operative systems, many positioning enabled sensors have been built into these devices. Users can now accurately fix their location according to the function of GPS receivers. For indoor environments, as in the case we are studying, WiFi based positioning is preferred to GPS due to the attenuation or obstruction of signals. This paper deals with the automatic classification of customers in a Sports Shop Center on the basis of their movements around the shop's premises. To achieve this goal, we start by collecting (x,y) coordinates from customers while they visit the store. Consequently, any costumer's path through the shop is formed by a list of coordinates, obtained with a frequency of one measurement per minute. Then, a guess about the full trajectory is constructed and a number of parameters about these trajectories is calculated before performing an Unsupervised Learning Clustering Process. As a result, we can identify several types of customers, and the dynamics of their behavior inside the shop. This information is of great value to the company, to be used both in the long term and also in short periods of time, monitoring the current state of the shop at any moment, identifying different types of situation appearing during restricted periods, or predicting customer flow conditions


Axon ◽  
2019 ◽  
Author(s):  
Peter Funke

In the first part of my ‘workshop report’, I will provide information about the current state of the epigraphical editions of the Inscriptiones Graecae. Subsequently, I will focus on the plans for the upcoming years. In this context, questions pertaining to epigraphic research in new geographic regions, on the one hand, and the revision of past editions, on the other hand, are paramount. In the second part of my report, I will outline the current state and future perspectives of the digitisation of the IG.


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