From owner-emf-bio@net.bio.net Thu Dec 11 22:00:00 1997
Path: biosci!biosci!not-for-mail
From: "John Pluth" <jvpluth@worldnet.att.net>
Newsgroups: bionet.emf-bio
Subject: EMF's and Brain Tumors...Please help.
Date: 12 Dec 1997 11:12:03 -0800
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EMF's and Brain Tumors...Please help.

	I am a 45 year old computer programmer who was diagnosed with a optic
chiasm brain tumor in 1993.  It is a pylocitic astrocytoma, mostly grade
III but with some grade II cells mixed in.  I had 2 surgeries initially,
and after the tumor grew back doubled in size last year, I underwent
radiation therapy.   
	My question is, with my vision damaged by the tumor in my optic nerve, I
am using a large oversized monitor for my programming work  many hours
everyday.  The monitor is throwing off about 10 ugauus at about 10 inches. 
I have to get about 5 inches from the screen to read it.  I am using a EMF
shield around the monitor, but from some measurements that were made, I
don't believe it is diminishing the radiation at all.
	Will the EMF exposure cause my tumor to regrow?  I have heard about some
research that confirms this.  And the ultimate question is, should I stay
away from the computer to save my live???
	Thank you very much for your help.
Sincerely,
JVP
jvpluth@worldnet.att.net  




From owner-emf-bio@net.bio.net Sun Dec 14 22:00:00 1997
Path: biosci!biosci!not-for-mail
From: "Bowman, Joseph D." <jdb0@cdc.gov>
Newsgroups: bionet.emf-bio
Subject: Meta-analysis for occupational magnetic fields with brain cancer
Date: 15 Dec 1997 10:16:30 -0800
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Here's the abstract of the study which I referred to in the my reply to
John Pluth's message "EMF's and Brain Tumors...Please help"

%%%%%%%%%%%%%%%%%%%

META-ANALYSIS OF THE DOSE-RESPONSE RELATIONSHIPS FOR OCCUPATIONAL
MAGNETIC FIELDS WITH BRAIN CANCER AND LEUKEMIA.  J.D. Bowman1, S.
Sivaganesan2, R.T. Elmore1,3, R.J. Smith1, A.J. Bailer1,3, and L.
Stayner1.  1National Institute for Occupational Safety and
Health, Cincinnati, OH; 2Department of Mathematical Sciences,
University of Cincinnati, Cincinnati, OH; 3Department of
Mathematics and Statistics, Miami University, Oxford, OH.

OBJECTIVE:  The dose-response (D-R) relationship is one of Hill's
criteria for determining causality from epidemiologic evidence.
Although there have been several reviews and one meta-analysis
for the cancers associated with workplace EMF, overall D-Rs have
never been examined by statistical hypothesis tests.  To do this,
we calculated D-R slopes for ELF magnetic fields with brain
cancer, leukemia, and leukemia sub-types by a meta-analysis of
the occupational epidemiologic studies with personal exposure
monitoring.
METHODS:  The meta-analysis used the published data from eight
studies of leukemia and/or brain cancer which measured workers'
full-shift exposures.  The study properties evaluated for this
analysis were quality of the exposure assessment, the outcome
(cancer incidence vs. mortality) and exposure duration (total
career exposure vs. recent exposures 5-10 yr prior to diagnosis
or death).  Where the cumulative exposure (in uT-yr) was used,
the time-weighted average (TWA) magnetic field magnitude (in uT)
was obtained by dividing by the average exposure duration for the
study population.  To correct for the exposure of the reference
category, the lowest mean TWA was subtracted from the mean
exposures of the other categories.  The categorical odds ratios
(OR) were fitted to the logistic model:  ln(OR) = beta  TWA
in order to estimate the mean slope beta (in uT^1) and 95%
confidence interval over all studies.  These slopes were
calculated by both conventional and Bayesian statistics.  The
conventional approach used a fixed-effect model if the studies
were homogeneous according to a Q test, and a random-effects
models if they were heterogeneous.  The Bayesian approach used a
random-effects hierarchical model with posterior simulation of
the mean slope and its variance (details in a poster
presentation).  To test the hypothesis that the mean beta  is
greater than zero, the p-value for a one-tailed test was
calculated by conventional statistics, and the equivalent
posterior probability Pr[beta<0|data] was calculated by Bayesian
methods.  The influence of individual studies was examined by
analyzing the data with one study removed at a time, and noting
when studies with design flaws affected the conclusions.
Separate meta-analyses were performed for recent and total
exposure and for each cancer type:  brain cancer, chronic
lymphocytic leukemia (CLL) and acute non-lymphocytic leukemia
(ANLL).
RESULTS: For the five studies with recent magnetic field
exposures, the mean slopes for brain cancer and CLL are
increasing with marginal significance, but ANLL shows no D-R.
Below are the D-R estimates from the Bayesian analysis, expressed
as the OR's multiplicative increase for 1 uT increase in exposure
= exp(beta).

               All studies with recent exposures

Cancer                Mean slope and 95 % CI    p - values
                      [OR increase per uT ]  Bayes.    Conven.

Brain cancer             1.34  (0.77-2.38)   0.130     0.156
ANLL                     1.08  (0.85-1.38)   0.275     0.271
CLL                      2.56  (0.61-11.6)   0.071     0.085


                    Omitting the weakest study

Cancer                Mean slope and 95 % CI    p - values
                      [OR increase per uT ]  Bayes.    Conven.

Brain cancer             1.84   (1.42-2.25)   0.006    <0.001
ANLL                     0.94   (0.66-1.35)  0.650     0.657
CLL                      3.94   (0.65-23.6)  0.055     0.082

The p-values from Bayesian and conventional statistics agree
reasonably well, showing that their different  mathematical
assumptions do not affect the conclusions from this meta-analysis.
For brain cancer, the slope becomes significant when
we removed a single study which is arguably more susceptible to
bias due to a design weakness.  The omitted studies for brain
cancer and the acute leukemias had incomplete exposure
assessments.  With CLL, a mortality study was excluded because
the cancer's long survival time makes death a weak indicator of
etiology.  With total exposures, none of the mean slopes are
significant (although the brain cancer D-R was marginally
significant without the questionable study).
CONCLUSIONS:  This meta-analysis of all occupational
epidemiologic studies with personal exposure measurements showed
a marginally significant D-R between the TWA magnitude of ELF
magnetic fields and the risks for CLL and to a lesser degree,
brain cancer.  Excluding one study with possible weaknesses in
design, the brain cancer slope becomes significant.  These
conclusions can be tested further if the investigators for all
eight studies would do their D-R analyses in a form that can be
pooled without approximations.  In the meantime, these findings
provide some support for the hypothesis that the TWA magnetic
field may be a causal factor for some (but not all) adult
cancers.



From owner-emf-bio@net.bio.net Sun Dec 14 22:00:00 1997
Path: biosci!biosci!not-for-mail
From: Allan Frey <afrey@UU.NET>
Newsgroups: bionet.emf-bio
Subject: assumptions
Date: 15 Dec 1997 11:11:44 -0800
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Joe Bowman mentions...

> The EMF animal studies do not show any effect on brain cancers (e.g. the
> recent paper by Mandeville in the FASEB Journal

Can that conclusion be drawn from Mandeville's 60 Hz study?

Mandeville indicates that the people who provided the magnetic field
equipment made an effort to provide a clean sinusoidal magnetic field;
one without any of the noise found in residential settings. I can
understand their wanting to make a pure 60 Hz signal. 

But there is an implicit assumption in doing this, i.e. it is assumed
that the critical part of the signal, biologically, is the 60 Hz
waveform; and the other waveforms that typically accompany the 60 Hz one
are irrelevant. But biological theory and data tell us that it is the
spikes and the other waveforms that are likely what is significant
biologically.  It looks to me like the engineers may have done such a
fine job that they doomed the relevance of the biological work, before
the biological work even started.

Allan 
-- 
Allan H. Frey					Email:  afrey@uu.net
11049 Seven Hill Lane				Voice:  301.299.5181
Potomac, MD 20854,  USA



From owner-emf-bio@net.bio.net Sun Dec 14 22:00:00 1997
Path: biosci!biosci!not-for-mail
From: "Bowman, Joseph D." <jdb0@cdc.gov>
Newsgroups: bionet.emf-bio
Subject: RE: EMF's and Brain Tumors...Please help.
Date: 15 Dec 1997 10:15:34 -0800
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On Friday, December 12, 1997 11:56AM,
John Pluth wrote:

>EMF's and Brain Tumors...Please help.
>
>	I am a 45 year old computer programmer who was diagnosed with a
optic
>chiasm brain tumor in 1993.  It is a pylocitic astrocytoma, mostly
grade
>III but with some grade II cells mixed in.  I had 2 surgeries
initially,
>and after the tumor grew back doubled in size last year, I underwent
>radiation therapy.
>	My question is, with my vision damaged by the tumor in my optic
nerve, I
>am using a large oversized monitor for my programming work  many hours
>everyday.  The monitor is throwing off about 10 ugauus at about 10
inches.
>I have to get about 5 inches from the screen to read it.  I am using a
EMF
>shield around the monitor, but from some measurements that were made, I
>don't believe it is diminishing the radiation at all.
>	Will the EMF exposure cause my tumor to regrow?  I have heard
about some
>research that confirms this.  And the ultimate question is, should I
stay
>away from the computer to save my live???


The science doesn't give a direct answer to John's question because
there is no study on whether magnetiic field exposures make
brain tumors re-grow.

The epidemiologic evidence is on primary brain tomors, and is
summarized by a meta-analysis which I presented at the Annual Review of
Research on Biological Effects of EMF in November (abstract posted
 in a second message).  The bottom line is that the dose-response
for brain cancer risk with the best-done studies is:

	Odds Ratio = 1.84 ^ B

where B = the workday average exposure to power-frequency
magnetic fields in microTesla (uT).

The odds ratio (OR) is the cancer risk relative to people who
are not exposed to magnetic fields on the job.  So a person
with a average magnetic field exposure of 1 uT would have
an average cancer risk of 1.84 or 84% higher than an unexposed
person, which is something like 1 case per 100,000 people per year.
The 95% confidence limits on this odds ratio are 1.42-2.25.

Where John wrote "The monitor is throwing off about 10 ugauus at
about 10 inches," I think he means 10 milligauss = 1 uT.  His work-day
average would be affected by the times is not working at the monitor,
and the times he is closer than 10 inches.  So 1 uT is a reasonable
estimate 
of his average exposure, and the odds ratios above are reasonable
estimates of his cancer risk from the epidemiologic studies done to
date.

The EMF animal studies do not show any effect on brain cancers (e.g. the
recent paper by Mandeville in the FASEB Journal), nor is the mechanism
by which these weak magnetic fields could cause brain cancer understood.
Some physicists argue from their models of biologic interactions that
magnetic fields below 100 uT are too weak to have any biologic effects.
So the evidence linking magnetic fields and brain cancer are not
conclusive.

In John's case, I think that the epdiemiologic evidence is hard to
ignore, and
reducing his average magnetic field exposures would be prudent.
Some ideas I can thiink of are:

*  moving further away from the screen by e.g. getting magnifying
lenses.

*  make sure that the computer's CPU is not near his chair

*  use a gauss meter to find other magnetic field sources in his work
area that can be eliminated or reduced (e.g. electric pencil
sharpeners).

*  spend less time in high-exposure areas.

Of course, we are talking about "risks" here.  With an active brain
tumor,
the most important things are good medical care, and taking care of the
whole person.  If reducing magnetic field exposures causes real
hardships, John should think twice about the small magnitude of the
EMF risks I estimate above.

Wishing John renewed health,

Joseph Bowman

***************
Radiation Section
Division of Biomedical & Behavioral Sciences
National Institute for Occupational Safety & Health
Cincinnati, Ohio 45226
USA

Phone:    513-533-8143
FAX:      513-533-8510
E-mail:   jdb0@cdc.gov

These opinions are my own and do not necessarily reflect NIOSH
policies.
***************



From owner-emf-bio@net.bio.net Mon Dec 15 22:00:00 1997
Path: biosci!biosci!not-for-mail
From: "Bowman, Joseph D." <jdb0@cdc.gov>
Newsgroups: bionet.emf-bio
Subject: RE: assumptions
Date: 15 Dec 1997 16:07:41 -0800
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The points that Allan Frey make below are valid.  These are arguments
why negative animal studies with EMF do not rule out a link with brain
cancer.  What I was getting at, however, was that the animal literature
provides no support for the associations with brain tumors found by
the occupational epidemiology (that I know of).

If someone like John Pluth is looking to science for guidance on what
to do, disciplines like animal toxicology and mechanistic theory provide
little direct evidence that EMF is a risk factor for brain cancer.  To
reduce
exposures, such a person must conclude that the positive epidemiologic
evidence and indirect evidence from cellular studies, breast cancer
studies,
etc. are sufficient to outweigh many negative findings in other arenas.
 ----------
From: Allan Frey
To: nobody@net.bio.net
Subject: assumptions
Date: Monday, December 15, 1997 2:04PM

Joe Bowman mentions...

> The EMF animal studies do not show any effect on brain cancers (e.g.
the
> recent paper by Mandeville in the FASEB Journal

Can that conclusion be drawn from Mandeville's 60 Hz study?

Mandeville indicates that the people who provided the magnetic field
equipment made an effort to provide a clean sinusoidal magnetic field;
one without any of the noise found in residential settings. I can
understand their wanting to make a pure 60 Hz signal.

But there is an implicit assumption in doing this, i.e. it is assumed
that the critical part of the signal, biologically, is the 60 Hz
waveform; and the other waveforms that typically accompany the 60 Hz one
are irrelevant. But biological theory and data tell us that it is the
spikes and the other waveforms that are likely what is significant
biologically.  It looks to me like the engineers may have done such a
fine job that they doomed the relevance of the biological work, before
the biological work even started.

Allan
 --
Allan H. Frey					Email:  afrey@uu.net
11049 Seven Hill Lane				Voice:  301.299.5181
Potomac, MD 20854,  USA




From owner-emf-bio@net.bio.net Mon Dec 15 22:00:00 1997
Path: biosci!biosci!not-for-mail
From: aphilips@gn.apc.org (Alasdair Philips)
Newsgroups: bionet.emf-bio
Subject: Re: assumptions
Date: 15 Dec 1997 16:20:04 -0800
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Hi
I know the original query was about VDU use and I have sent a message
BUT
TDMA digital phones typically give off ELF magnetic field pulses (50, 60,
75, 100, 217 Hz depending on the actual system + harmonics up to about 13)
due to battery power surghes as the transmitter powers up.  These are
typically 4 to 8 microtesla (40 to 80mG) about half an inch from the 
earpiece!
I have a letter in the forthcoming issue of Microwave News on this subject.

Just food for thought following Joe Bowman and Allan Frey's useful comments.

Alasdair Philips
'Powerwatch' Director (UK) and EMF researcher
(and colleague of Roger Coghill at CRL)
=========================================================================



At 14:04 15/12/97 -0500, afrey@UU.NET wrote:
>Joe Bowman mentions...
>
>> The EMF animal studies do not show any effect on brain cancers (e.g. the
>> recent paper by Mandeville in the FASEB Journal
>
>Can that conclusion be drawn from Mandeville's 60 Hz study?
>
>Mandeville indicates that the people who provided the magnetic field
>equipment made an effort to provide a clean sinusoidal magnetic field;
>one without any of the noise found in residential settings. I can
>understand their wanting to make a pure 60 Hz signal. 
>
>But there is an implicit assumption in doing this, i.e. it is assumed
>that the critical part of the signal, biologically, is the 60 Hz
>waveform; and the other waveforms that typically accompany the 60 Hz one
>are irrelevant. But biological theory and data tell us that it is the
>spikes and the other waveforms that are likely what is significant
>biologically.  It looks to me like the engineers may have done such a
>fine job that they doomed the relevance of the biological work, before
>the biological work even started.
>
>Allan 
>-- 
>Allan H. Frey					Email:  afrey@uu.net
>11049 Seven Hill Lane				Voice:  301.299.5181
>Potomac, MD 20854,  USA
>
>
>
 
 
Alasdair Philips    (aphilips@gn.apc.org)




From owner-emf-bio@net.bio.net Tue Dec 16 22:00:00 1997
Path: biosci!biosci!not-for-mail
From: "Daniele Andreuccetti" <andreucc@iroe.fi.cnr.it>
Newsgroups: bionet.emf-bio
Subject: Announcement: Emf-In-The-Web
Date: 17 Dec 1997 13:13:13 -0800
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Announcing "Emf-In-The-Web"
===========================

Emf-In-The-Web is a (shortly) annotated reference list of Web sites
addressing issues related to the Interactions between Electromagnetic
Fields and Biological Systems.

It has been developed starting from a list of URLs appeared on the
EMFLDS-L mailing list during summer 1997.

The list comprises approximately thirty addresses divided into three
categories.

1. International Institutions (websites maintained by relevant
   institutions or containing documents of wide general interest).
2. International Research Groups (home pages of international
   research groups working in the cited fields).
3. Domestic Institutions and Research Groups (as above,
   in Italian).

Currently Emf-In-The-Web is active from monday 9:00 GMT to
friday 17:00 GMT at the following address:

http://safeemf.iroe.fi.cnr.it/safeemf/emfref.htm

Comments, hints, complaints, proposals for new links
should be addressed to:

dr. Daniele Andreuccetti
CNR - Istituto di Ricerca sulle Onde Elettromagnetiche 
via Panciatichi, 64 - 50127 FIRENZE
tel. +39.55.4235216 fax. +39.55.410893
andreucc@iroe.fi.cnr.it
http://www.iroe.fi.cnr.it/~andreucc




From owner-emf-bio@net.bio.net Wed Dec 17 22:00:00 1997
Path: biosci!biosci!not-for-mail
From: liboff@oakland.edu (A.R. Liboff)
Newsgroups: bionet.emf-bio
Subject: Re:assumptions
Date: 18 Dec 1997 12:30:13 -0800
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There is something more involved in the choice of an experimentally "clean
sinusoidal" signal than what is mentioned by Frey, who argues for
biologically relevant waveforms.

>From a purely scientific standpoint, the sine wave is not only the easiest
signal to produce and replicate, it is also the signal best understood in
terms of mathematical modelling and in comparing laboratory data with
potential mechanisms.

As an example,I bring to everyone's attention the confused state of affairs
folowing the late Andy Bassett's introduction (1973) of pulsed magnetic
signals (PMF) to repair bone. The biologists eagerly accepted this
modality, which defied any reasonable analysis, trying all sorts of
experiments on systems ranging from nerve regeneration to cell
proliferation. Many effects were observed. A dialog took place as to what
characteristics of the PMF were specific to the biological effects that
were observed. The term "signal specific" became commonplace at meetings,
as various commercial entities sought to show why this or that variation in
the PMF was efficacious for this or that biological model. In time, there
arose a large dataset of totally disconnected results,largely based on
unknown parameters of pulsed signals to begin with, but also including
variations in these unknown parameters.There are now dozens of such PMF
systems around the world, each claiming uniqueness. We should not be too
quick to blame all of this on the rush to commercialization. The biologists
helped immeasurably with their dismal understanding of the simple basic
physics underlying these systems, lumping all such uncomfortable things
into the vague term "engineering".

In the early eighties, at a meeting in England, I reported results that
clearly showed that one could achieve exactly the same results in different
cell systems when using a pure magnetic sine wave of 15 Hz as occurred when
using a PMF with a repetition rate of 15 pps. The response from (friendly)
biologists was remarkable: why was I bothering with sine waves when
everyone else used pulsed signals? For some reason, the feeling among the
biological community at that time was that it was easier to understand
pulsed signals than sine waves. Despite all that has happened in the
interim, that still seems to be the feeling abroad, even among some of the
most distinguished of my biological colleagues.

Some readers may already know the end of this story, where, in recent
years, pure sine wave magnetic fields have been shown to do exactly what
was claimed in bone repair for pulsed magnetic fields, have been approved
by the FDA, and are applied at power levels approximately fifty times less
than PMF devices.

There is some truth to Frey's statement that "biological theory and data
tell us that it is the spikes...that are...significant..." But, based on
history, this does not mean that applying spikes to biological systems will
necessarily help us understand what is happening. The spikes that are
observed in calcium-fluorochrome studies or membrane voltage fluctuations
are often greatly distorted by the assaying system. At best,in trying to
replicate such signals, one is limited to applying pulse characteristics
that may have the same pulse repetition rate, but little else. Even if we
were able to apply excellent replicates of such signals in laboratory
settings, there would still be the problem of knowing what aspect of the
pulse is biologically operative. 

I think what Frey is arguing for is a more clinical approach to
understanding electromagnetic biology, that is, one based strictly on
empirical findings. I think this is shortsighted in that the more basic our
bioelectromagnetic understanding, the greater likelihood that we can use
this knowledge to make important advances in medicine. From where I sit the
simplest and most effective probe of bioelectromagnetic interactions are
sine wave magnetic fields.

AR Liboff
Professor of Physics
Oakland University
Rochester, MI 48309
(248) 370-3412
liboff@oakland.edu




From owner-emf-bio@net.bio.net Thu Dec 18 22:00:00 1997
Path: biosci!biosci!not-for-mail
From: Allan Frey <afrey@UU.NET>
Newsgroups: bionet.emf-bio
Subject: Re: Assumptions
Date: 18 Dec 1997 16:55:04 -0800
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Some corrections are needed in what Liboff said.

Liboff said

>There is some truth to Frey's statement that "biological theory and data
>tell us that it is the spikes...that are...significant..."

What I said was
>>=85 biological theory and data tell us that it is the
>>spikes and the other waveforms=85

Liboff said

>I think what Frey is arguing for is a more clinical approach to
>understanding electromagnetic biology, that is, one based strictly on
>empirical findings.

No, in fact I think of myself as more a theorist than an experimentalist
despite my more than a hundred experiment papers. =20

I think if one makes implicit assumptions, as Mandeville did, then they
should be recognized as such, i.e. pure 60 Hz, of all the waveforms
associated with electric power in the home, is the only one that could
have a biological effect.  This is particularly the case if one's
results are used to make public health decisions. If the assumptions can
not be shown to be correct, then conclusions with respect to the public
health should not be drawn.

As to emf  biology being messy, that's true. But its been true in all
the sciences through history until there is a paradigm shift and all the
pieces fall into place. That's what makes the emf-bio area interesting.
When everything is neat, then one is merely crossing the Ts and dotting
the Is and there is nothing of significant being done.=20

Allan


--=20
Allan H. Frey					Email:  afrey@uu.net
11049 Seven Hill Lane				Voice:  301.299.5181
Potomac, MD 20854,  USA



From owner-emf-bio@net.bio.net Sun Dec 28 22:00:00 1997
Path: biosci!biosci!not-for-mail
From: "Bowman, Joseph D." <jdb0@cdc.gov>
Newsgroups: bionet.emf-bio
Subject: Postdoctoral position at NIOSH
Date: 29 Dec 1997 09:54:16 -0800
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             RESEARCH / CAREER DEVELOPMENT FELLOWSHIP
         on the Health Effects of Non-ionizing Radiation

The National Institute for Occupational Safety and Health (NIOSH)
is seeking a postdoctoral fellow to conduct research on new
methods for measuring exposures to electric and magnetic fields
(EMF) and parameters which characterize the field's biological
impact.  The fellowship is designed for a recent Ph.D. with a
strong physics or engineering background who wants start a career
in occupational health research, specializing in non-ionizing
radiation.  The fellow would work in NIOSH's research program on
the possible health effects of EMF at radio frequencies (RF) and
extremely low frequencies (ELF).   Research opportunities
include:  (1) developing improved instruments and techniques to
measure body currents in workers exposed to RF and ELF sources;
(2) developing models for determining measures of the EMF's
biological impact, such as the specific absorption rate (SAR),
induced body current, resonances with biological ions, rate of
free radical reactions, etc.  (3) developing instrumentation to
measure worker exposure to the biologically-effective
characteristics of ELF fields; (4) testing these exposure
measurement techniques with workers in health studies and
laboratory animals in toxicological studies.

This 2-3 year fellowship includes an annual stipend of at least
$38,000 (dependant on qualifications), reimbursement of
relocation expenses, travel to professional meetings, and health
insurance. The fellow can also elect to take courses in health
physics and industrial hygiene at the University of Cincinnati,
providing the basis for a career in occupational health.
Qualifications include a Ph.D. in physics, physical chemistry,
health physics, industrial hygiene, electrical engineering, or
biomedical engineering, the ability to work well with a
multi-disciplinary research team, and a strong background in EMF
theory, computer programming, and electronics.

For information on applications, interested candidates should
contact:
                     Joseph D. Bowman, Ph.D.
                      NIOSH, Mail stop C-27
                      4676 Columbia Parkway
                      Cincinnati, Ohio 45226
                           513-533-8143
                    E-mail:    jdb0@cdc.gov



From owner-emf-bio@net.bio.net Sun Dec 28 22:00:00 1997
Path: biosci!biosci!not-for-mail
From: liboff@oakland.edu (A.R. Liboff)
Newsgroups: bionet.emf-bio
Subject: sine waves
Date: 29 Dec 1997 09:55:08 -0800
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More on the discussion on the biological usefulness of sine wave versus
pulsed stimulatory probes: Although (low-frequency) sine waves can be
readily characterized in terms of frequency, amplitude, and, if one wishes,
phase angle, this is simply not true for pulses. To replicate a pulsed
signal properly requires that one know its amplitude. its repetition rate,
its leading edge, or rise time, its fall time, its width, the amount of
clipping, if that occurs, and its undershoot. This all can be subsumed by
knowing the Fourier breakdown of the pulse, information that is not readily
available without the addition of a wide-band spectrum analyzer. Even if
one were able to apply to a biological system a signal which was properly
characterized, the high frequency components of a pulse tend to distort on
entering tissue, which makes it likely that the interactive signal would
not have the same physical characteristics as that which was originally
incident on the system.

All this boils down to asking:
(1) how does one choose the best characteristics for pulses from among the
six or seven variables required to describe a pulse?
(2) how does one ensure that the pulses used in laboratory A are the same
as in lab B and C?
(3) how does one take into account the different attenuations that occur in
different biological model systems, even if the applied pulse could be
prepared in the same way from lab to lab?

In my opinion, the biologists have been unthinking in their use of pulses
and magnetic fields. Data keeps pouring out, much of it carefully obtained
and catalogued, some of it  showing interesting effects, but all of it so
hopelessly characterized that it defies any reasonable attempt at analysis.
Biologists do things with magnetic fields that they would never be
permitted to do with biochemicals. Imagine the problems that would ensue if
experiments were conducted in such a way as to study the effects of adding
proteins of all sorts en masse to various sytems, along with an occasional
carbohydrate and perhaps a nucleotide or two, all unspecified. After all,
one could argue, aren't they all biochemicals? Biologists must learn to
begin thinking of electromagnetic fields as entities no less complex than
the wide range of chemical compounds that they usually work with. And, not
only should these fields be regarded as complex, but the response of
biosystems to this complexity is probably as varied as it is for the entire
array of biochemicals.

A.R. Liboff
Professor of Physics
Oakland University
Rochester, MI 48309
(248) 370-3412
liboff@oakland.edu




From owner-emf-bio@net.bio.net Mon Dec 29 22:00:00 1997
Path: biosci!biosci!not-for-mail
From: "Wenzl, Thurman" <tyw1@cdc.gov>
Newsgroups: bionet.emf-bio
Subject: adult cancers-emf epi idea
Date: 30 Dec 1997 14:31:55 -0800
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Will the NIEHS meeting in a few weeks be considering new ideas for epi
studies?
My reading of their purpose (below) suggests that they may not.  I think
they need to do more than decide whether the current evidence is
equivocal or shows a slightly increased risk; it seems to me that
whichever of these 'is the case', more epi research is warranted if a
'new' population with high exposures can be identified.

So, I have a suggestion for highly exposed adult population(s) - which
could be studied but which would require direct interviews with study
subjects:

Trains powered by overhead power freq. AC current place their passengers
(and not just their crews) in relatively strong fields - with averages
in the 30 -40 mG range; that means that if someone commutes 45 min one
way on such a train, one would be exposed to about 45 mG hr each day,
comparable to 16 hrs in a 3 mG home - which most of us believe to be
quite uncommon.

So why not design a regionally based case-control study where there are
many commuters on such trains.
For confidence in the above exposure estimate (which is based on some
actual monitoring), it would be best to choose areas served by power
frequency trains, rather than those powered at 25 or 16.67 Hz, since the
personal monitors may not be believed at those low freqs.

But there are still are several regions available;  in the US, the NY to
New Haven line is powered by 60 Hz overhead between Pelham and NH.  In
Europe, I believe that much of England, Austria, Finland, and Portugal
have trains operating with these overhead power freq supplies.

The disadvantages of this idea include cost, since study subjects would
have to be interviewed on commuting habits and confounders (such as
pregnancy history, for breast cancer) - but the size of these exposed
populations (about 40,000 per day on the New Haven line) suggest that
even a slightly increased rel. risk would have public health
significance.

Thurman Wenzl,  ScD
the usual disclaimers apply; these are my own ideas, and not those of my
employer.

from the NIEHS web page:
"Purpose:   (1) To review the epidemiological research on EMF,
addressing the quality of studies and research
                 findings and (2) to evaluate if there is sufficient
evidence to support a causal linkage between exposure
                 to EMF and a biological effect."



