Mobile phones are becoming increasingly important in our everyday lives. The rising number of mobile phones reflects a similar increase in the number of base stations. Because of this rapid evolution, the establishment and planning of new base stations has become mandatory. However, the rise in the number of base stations, in terms of human health, is potentially very harmful. It is important to analyze the radiation levels of base stations until we can confirm that they are definitely not harmful in the long term. Mapping of electromagnetic field (EMF) is also important from a medical point of view because it provides useful information, for example, on the detection of diseases caused by EMF. With the help of this information the distribution of diseases over different regions can be obtained. In this article, the electromagnetic radiation levels of base stations were measured at 80 different points in Erciyes University (ERU), Turkey and detailed information about the measurement tools and measurement method were given. It was observed that no area in ERU exceeded the national and international limits. It is also observed that the effects of base stations vary according to duration and degree of exposure. Therefore, if people are exposed to a very low-intensity electromagnetic field for a very long time, serious health problems can occur.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3109/15368378.2012.683223 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
An improved endwall-injection technique for examining high-temperature ignition of lubricating oils in shock tubes.
Rev Sci Instrum
January 2025
J. Mike Walker '66 Department of Mechanical Engineering, Texas A&M University, College Station, Texas 77843, USA.
Ignition of the lubricating fluid in a mechanical system is a highly undesirable and unsafe condition that can arise from the elevated temperatures and pressures to which the lubricant is subjected. It is therefore important to understand the fundamental chemistry behind its ignition to predict and prevent this condition. Lubricating oils, particularly those with a mineral oil base, are very complex mixtures of thousands of hydrocarbons.
View Article and Find Full Text PDFSmart crop disease monitoring system in IoT using optimization enabled deep residual network.
Sci Rep
January 2025
Department of Economics, Kardan University, Kabul, Afghanistan.
The Internet of Things (IoT) has recently attracted substantial interest because of its diverse applications. In the agriculture sector, automated methods for detecting plant diseases offer numerous advantages over traditional methods. In the current study, a new model is developed to categorize plant diseases within an IoT network.
View Article and Find Full Text PDFHydrology and water quality evaluation for potential HABs under future climate scenarios.
J Environ Manage
January 2025
Department of Agricultural and Biological Engineering, Mississippi State University, Mississippi State, MS, 39762, United States. Electronic address:
Harmful algal blooms (HABs) are increasingly a global concern and the issue of all fifty states in the U.S as it poses a threat to human health and aquatic ecosystem. This study aimed to investigate the relationship of HABs with streamflow and water quality parameters and assess the hydrology-based potential future HABs in the Ohio River Basin at Ironton (ORBI) using the Soil and Water Assessment Tool (SWAT).
View Article and Find Full Text PDFBackground: Assistive technology (AT) plays a crucial role in empowering people living with dementia (PLWD) to perform tasks independently, enhancing their autonomy and dignity. To build on this foundation, our proposal introduces a home-based reminder system designed to further support PLWD in their daily lives.
Hypothesis: Memory aid technology, in particular reminder systems, can be developed to prospectively provide PLWD with autonomy and independence, to alleviate responsibilities and time commitments of caregivers and clinicians, and to enable remote behavioral monitoring.
Multi-level clustering and Prediction based energy efficient routing protocol to eliminate Hotspot problem in Wireless Sensor Networks.
Sci Rep
January 2025
Department of Computer Science & Engineering, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Conserving energy of sensor nodes and ensuring balanced workloads among them are fundamental concerns in Wireless Sensor Network (WSN) design. Clustering strategies offer a promising avenue to minimize node energy consumption, thereby prolonging network lifespan. Nevertheless, numerous multi-hop routing protocols using clustering technique face the challenge of nodes nearer to the Base Station (BS) depleting their energy faster due to forwarding data from the entire network leading to premature node failure and network partitioning known as 'hotspot problem'.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!