Towards Improved Representation and Communication of Pharmaceutical Expert Information

Author(s):  
Markus Wagner

The main concern of healthcare management has ever been embodied by two conflicting goals. These are improving care quality while reducing care costs. Information technology already has proven its positive impact on both goals. While general administrative tasks are being performed more efficiently for some decades, expert-oriented systems are entering the medical domain with increasing support capabilities for domain-specific therapeutic procedures, leading to more secure and efficient therapy planning, monitoring and control.

2017 ◽  
Vol 26 (5) ◽  
pp. 403-410 ◽  
Author(s):  
Nazbanou Nozari ◽  
Jared Novick

Language research has provided insight into how speakers translate a thought into a sequence of sounds that ultimately becomes words, phrases, and sentences. Despite the complex stages involved in this process, relatively little is known about how we avoid and handle production and comprehension errors that would otherwise impede communication. We review current research on the mechanisms underlying monitoring and control of the language system, especially production, with particular emphasis on whether such monitoring is issued by domain-general or domain-specific procedures.


Pathogens ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 242
Author(s):  
Jose A. Barasona ◽  
Sandra Barroso-Arévalo ◽  
Belén Rivera ◽  
Christian Gortázar ◽  
Jose M. Sánchez-Vizcaíno

The presence of Mycobacterium bovis and other members of the Mycobacterium tuberculosis complex (MTC) is a main concern in wildlife populations such as the Eurasian wild boar (Sus scrofa). Tests detecting antibodies against the MTC are valuable for tuberculosis (TB) monitoring and control and particularly useful in suids. The development of accurate, efficient, and non-invasive new tools to detect exposure to MTC would be highly beneficial for improving disease surveillance. This study aimed to determine if antibodies against MTC could be detected in oral fluid (OF) samples by a new ELISA test (IgG detection) from naturally TB-infected wild boar. For this, individual, paired serum and OF samples were collected from 148 live wild boar in two TB-status areas from Spain and quantitatively used to validate the new ELISA test. Antibodies against MTC were widely detected in OF samples, for which a significant positive correlation (r = 0.83) was found with the validated serology test. OF ELISA sensitivity and specificity were 67.3% and 100%, respectively. The results of this work suggest that OF samples have the potential to be used for MTC diagnosis as a further step in TB surveillance and control in suid populations. Based on our results, further research is warranted and could be performed using non-invasive new tools directly in field conditions to detect exposure to MTC.


Author(s):  
M. A. Abul-Soud ◽  
M. S. A. Emam ◽  
Sh. M. Mohammed

Aims: Sensing, monitoring and control the micro-climate measurements and environmental conditions of greenhouse prototype to create a smart hydroponic greenhouse for maximizing the food production as well as minimizing the ecological footprint under the climate change impacts, Coved 19 crisis, and natural resources shortages. Study Design: Factorial with 3 replicates. Place and Duration of Study: Central Laboratory for Agriculture Climate (CLAC), Agriculture Research Center, Egypt during 2020. Methodology: Two systems of hydroponic culture, nutrient film technique (NFT) and deep flow technique (DFT) that cultivated by lettuce plants were established under greenhouse (polycarbonate) prototype (0.8 * 1.2 * 0.6 m) designed with artificial grown light and cooling system. Based on Arduino Mega 2560 that programmed via the Arduino IDE program, different sensors and actuators were used to establishing the smart greenhouse. Internet of things (IoT) via Node MCU ESP 8266 that programmed to transmitted the data every 30 min. to the internet web google platform (Firebase) for presenting the real-time records and hosting the data. Vegetative characteristics; yield parameters and N, P, and K contents of lettuce plants were measured. Results: the smart greenhouse worked according to the programming of Arduino Mega and Node MCU with high efficiency. Google firebase platform displays the real-time records and hosts about 100 thousand different sensor records during the lettuce season. Decreasing the distance between the lettuce and artificial lightning source led to increasing the intensity of light that had a positive impact on lettuce growth but it wasn't sufficient to give a high quality of lettuce yield under the experiment. NFT system gave higher values of average No. of leaves and fresh weight of lettuce plants than DFT system that presented higher plant length. Conclusion: Integrated monitoring and control system and IOT provide a wireless sensors network that offered a high capability of accessing huge data anywhere and anytime. Smart management of nutrient solution (TDS, pH, temperature, and level), without smart control, were not useful enough regarding the rapid solution changes and the need for a high response.


Author(s):  
Shaoying Wang ◽  
Linghui Liu ◽  
Shaoyu Wang

With the progress of science and technology, the emergence of new technologies has greatly promoted young college students' entrepreneurial boom. However, the progress of science and technology not only brings more opportunities for entrepreneurship, but also makes the market competition more intense. High-speed information updating makes the risk of entrepreneurship sharply increase. Individual entrepreneurship gradually transforms into group entrepreneurship, further increasing the complexity of decision-making. In order to reduce entrepreneurial decision-making errors, this study empirically analyzed the impact of entrepreneurial cognitive ability on entrepreneurial decision-making of entrepreneurial groups of students in Beiijing, Shanghai, Guangzhou and other regions who have been entrepreneurs for three months to six years. The data of five factors, entrepreneurial consensus ability, professional allocation ability, monitoring and control ability, decision-making speed and effect of decision making, were collected through questionnaire. The relationships between the factors were initially determined using SPSS, and the causal relationship was further analyzed using multi-variable regression analysis. The results showed that entrepreneurial consensus ability and professional allocation ability had a significant positive impact on decision-making speed, monitoring and control ability had no significant impact on decision-making speed, professional allocation ability and monitoring ability had a significant positive impact on decision-making effect, and entrepreneurial consensus ability had no significant impact on decision-making effect. In conclusion, entrepreneurial cognitive ability of student entrepreneurs has a significant impact on entrepreneurial decision-making.


Author(s):  
David C. Joy

Personal computers (PCs) are a powerful resource in the EM Laboratory, both as a means of automating the monitoring and control of microscopes, and as a tool for quantifying the interpretation of data. Not only is a PC more versatile than a piece of dedicated data logging equipment, but it is also substantially cheaper. In this tutorial the practical principles of using a PC for these types of activities will be discussed.The PC can form the basis of a system to measure, display, record and store the many parameters which characterize the operational conditions of the EM. In this mode it is operating as a data logger. The necessary first step is to find a suitable source from which to measure each of the items of interest. It is usually possible to do this without having to make permanent corrections or modifications to the EM.


2016 ◽  
Author(s):  
Giacomo Giannoccaro ◽  
Armando Ursitti ◽  
Maurizio Prosperi

2020 ◽  
pp. 4-10
Author(s):  
VLADIMIR V. KIRSANOV ◽  
◽  
DMITRIY YU. PAVKIN ◽  
FEDOR E. FEDOR E. VLADIMIROV ◽  
EVGENIY А. NIKITIN ◽  
...  

A modern dairy farm is a complex biotechnical “man-machine-animal” system, where purposeful human activity concentrates mainly on the control of the “machine” and “animal” subsystems, thus making the whole system ergatic. Increasing the interaction effi ciency of machine subsystems with biological objects (animals) requires an in-depth study of the properties and characteristics of the latter, their behavior, adaptive and refl ex mechanisms that ensure the mutual adaptation of machine and biological subsystems. The paper considers general functionality of the “animal” subsystem, which includes lists of monitored parameters (functions) in pre-weaning, pre-lactation and lactation periods. In a similar way, functionals of the subsystems of the general musculoskeletal development of the animal’s body, respiratory and digestive organs, comfort of the habitat, development and control of the reproductive organs of lactating cows were obtained accompanied with a list of controlled functions and parameters. To carry out a set of research activities in this fi eld, FSAC VIM is planning to carry out a complex project that will increase the levels of automation, digitalization and intellectualization of animal husbandry, provide for comfortable environment, optimal rediced-impact service modes for animals and their extended productive longevity, increased quality of milk and autonomous functioning of individual local biotechnical subsystems.


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