Electromagnetic absorption in a multilayered slab model of tissue under near-field exposure conditions

1980 ◽  
Vol 1 (4) ◽  
pp. 379-388 ◽  
Author(s):  
I. Chatterjee ◽  
M. J. Hagmann ◽  
O. P. Gandhi
Keyword(s):  
Near Field ◽  
Slab Model ◽  
Field Exposure ◽  
Electromagnetic Absorption ◽  
Multilayered Slab ◽  
Exposure Conditions

Plane-wave spectrum approach for the calculation of electromagnetic absorption under near-field exposure conditions

1980 ◽  
Vol 1 (4) ◽  
pp. 363-377 ◽  
Author(s):  
I. Chatterjee ◽  
O. P. Gandhi ◽  
M. J. Hagmann ◽  
A. Riazi
Keyword(s):  
Plane Wave ◽  
Near Field ◽  
Wave Spectrum ◽  
Field Exposure ◽  
Electromagnetic Absorption ◽  
Exposure Conditions

Near Field Exposure Conditions by UHF-RFID Systems in Smart Healthcare Environments

2021 ◽  
Author(s):  
Silvia de Miguel-Bilbao ◽  
Jose A. Hernandez ◽  
Oscar J. Suarez ◽  
Pablo Marina ◽  
Victor M. Febles ◽  
...  
Keyword(s):  
Near Field ◽  
Uhf Rfid ◽  
Field Exposure ◽  
Rfid Systems ◽  
Smart Healthcare ◽  
Healthcare Environments ◽  
Exposure Conditions

scholarly journals Drugs, Active Ingredients and Diseases Database in Spanish. Augmenting the Resources for Analyses on Drug–Illness Interactions

Data ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 3
Author(s):  
Irene López-Rodríguez ◽  
César F. Reyes-Manzano ◽  
Israel Reyes-Ramírez ◽  
Tania J. Contreras-Uribe ◽  
Lev Guzmán-Vargas
Keyword(s):  
Side Effects ◽  
Near Field ◽  
Quantitative Information ◽  
Active Pharmaceutical Ingredients ◽  
Sources Of Information ◽  
Active Ingredients ◽  
Field Exposure ◽  
Essential Information ◽  
Pharmaceutical Ingredients ◽  
Active Substances

Quantitative and qualitative data on active-ingredient drug composition are essential information for characterizing near-field exposure of consumers to product-related chemicals, among other things. Equally as important is the characterization of the relationship between one or many active ingredients in terms of the diseases they are prescribed for. Such evaluations, however, require quantitative information at different anatomical levels. To complement the available sources of information on active substances and diseases, we have designed a database with enough versatility to potentially be used in a variety of analyzes. By using information provided by a well-established online pharmacological dictionary, we present a database with 11 tables which are easy to access and manipulate. Specifically, we present datasets containing the details of 12,827 marketed drug products, 40,164 diseases, 6231 active pharmaceutical ingredients and 4093 side effects. We exemplify the usefulness of our database with three simple visualizations, which confirm the importance of the data for quantifying the complexity in the associations among active substances, diseases and side effects. Although there are databases with detailed information on active substances and diseases, none of them can be found in Spanish. Our work presents an option that contributes substantially to obtaining well classified information in order to evaluate the roles of active pharmaceutical ingredients, diseases and side effects. These datasets also provide information about clinical and pharmacological groupings which may be useful for clinical and academic researchers. The database will be regularly updated and extended with the newly available Virtual Medicinal Products.

Near Field Radio-Frequency Electromagnetic Field Exposure of a Western Honey Bee

2021 ◽  
pp. 1-1
Author(s):  
David Toribio ◽  
Wout Joseph ◽  
Arno Thielens
Keyword(s):  
Electromagnetic Field ◽  
Radio Frequency ◽  
Honey Bee ◽  
Near Field ◽  
Field Exposure

Thermal Modeling of the Near-Field Exposure from Wireless 5G Devices

2018 ◽  
Author(s):  
A. Christ ◽  
D. Colombi ◽  
K. Joyner
Keyword(s):  
Near Field ◽  
Thermal Modeling ◽  
Field Exposure

scholarly journals Stochastic modeling of near-field exposure to parabens in personal care products

2016 ◽  
Vol 27 (2) ◽  
pp. 152-159 ◽  
Author(s):  
Susan A Csiszar ◽  
Alexi S Ernstoff ◽  
Peter Fantke ◽  
Olivier Jolliet
Keyword(s):  
Stochastic Modeling ◽  
Near Field ◽  
Personal Care Products ◽  
Personal Care ◽  
Field Exposure
Sign in / Sign up

Export Citation Format

Share Document