text:
\section[]{Introduction}

A major goal of extragalactic researches is to understand spatially unresolved
internal structure of the active galactic nuclei (AGN), in particular, the
structure, kinematic, and physical conditions in the broad-line region
(BLR). The BLR consists of high velocity gas (up to $\sim$20000 \kms)
that is ionized and heated by the time-variable, high-energy continuum
of the central source. This gas produces broad emission lines (BEL).
While most of the BEL profiles are roughly symmetric, some AGNs
show strong redward or blueward asymmetries, bumps, and shelves
in the BEL profiles.
In addition, the BEL profiles are strongly variable
in flux, responding or ``reverberate'' to the continuum variations,
as well as in shape.

A long-term monitoring of AGNs is an effective way to study the BLR and
to distinguish among various proposed BLR models. High temporal resolution
time series of the continuum and broad-line fluxes are of particular interest
for the reverberation mapping studies (RM). RM \citep{Bla82,Pet93,Pet14}
is a powerful tool to investigate the BLR size, structure,
and kinematics. Under some simple assumptions, the emission-line
response to the continuum variations is a convolution of the
continuum light curve with a so-called transfer function $\Psi(\tau)$
(for the total line flux) or $\Psi(\tau,\lambda)$ (for the line flux at
wavelength $\lambda$).
The transfer function reflects BLR size, geometry, and kinematics.
In its simplest form, the mean time delay  (or lag $\tau$)
between continuum and emission-line variations is measured
by the cross-correlation function (CCF) for the respective light curves and it
represents a typical BLR size. The lag at the CCF peak
(or $\tau_{peak}$) is approximately equal to a lag that divides a transfer
function into two equal areas \citep{Ser99b}.

From the time delay as a function of line-of-sight velocity
it is possible to distinguish among geometric and kinematic BLR configurations
(e.g. flattened versus spherical geometry and rotation, infall, or outflow kinematics).
For example, the Keplerian disk produces a
velocity-symmetric structure with lower lags at the far profile wings
while the radial motion produces an asymmetric velocity structure
with smaller delays on the red/blue profile wings for infall/outflow, respectively.
Such detailed velocity-resolved analyses have been applied
to about ten AGNs \citep[e.g,][]{Ser99a,Den09,Ben10,Den10,Dor12,Gri13,Pei17,Rosa18}.
In general, the BLR kinematics has been found to be a rotational or infall motion,
but the BLR appears to be more complex in some objects,
e.g. combined virial motion and infalling gas in Mrk~6
\citep{Ser99a,Dor12,Gri13}.

However, the long-term profile variations (months to years)
seem to be completely independent of the continuum variations,
so their origin can not be ascribed to reverberation effects
\citep[e.g.][]{Ser02}.
Reasons for the long-term profile evolution are not clear.
They can be related to the multi-component BLR model with
multiple physical components \citep[e.g.][]{Sti88,Pet90,Mal97,Ser01},
or to the inhomogeneities in a disk-like BLR such as
hot spots \citep{Zhe91,New97,Ser00,Flo08} or spiral arms \citep{Cha94,Sto17}, or to the
line emissivity redistribution in space that depends on the continuum brightness
\citep[e.g. broad \hb\ line was found to be broader when the continuum flux is weaker in
accordance with the photoionization models, e.g.][]{Cac06},
or to dynamic changes of the BLR, or to the anisotropic continuum emission
\citep[e.g.][]{Goad96}, or to some other reasons.

The nucleus of the radio galaxy 3C~390.3 is a prototype
to so-called double-peaked emitters, objects with strongly
double-peaked broad-line profiles (red and blue bumps or shoulders).
This nucleus is among the best-studied objects of this class
and its variability history is well-known
\citep[e.g.][]{Ost76,Bar80,Yee81,Net82,Vei91,Zhe96,Wam97,Die98,OBr98,Gez07,Sha10,Die12,Afa15}.

The double-peaked profiles are often believed to be
a signature of the relativistic Keplerian disk, either circular or elliptical
\citep[e.g.][]{ch89a,ch89b,Era95}.
Inhomogeneities in the disk surface brightness have been proposed
in order to explain variations of the profile shapes (see above).
Alternative BLR models to account for the double-peaked profiles include
outflowing biconical gas streams \citep{Vei91,Zhe91}
and binary black holes \citep[e.g.][]{Pet87,Gas96,Zha07}.

The present study is a continuation of the previous studies of the 3C~390.3
nucleus carried out in the Crimean Astrophysical Observatory (CrAO)
since 1992: \citet{Ser02,Ser11} and Sergeev, Nazarov \& Borman (2017)
\citep[hereafter][]{Ser17}.
The observations
are described in Sect.~\ref{sect-obs}. The velocity-resolved variability
characteristics and the velocity-resolved lags for the \hb\ and \ha\ lines
are presented in Sect.~\ref{sect-var} and \ref{sect-lag}. In Sect~\ref{sect-heii},
the lag for the \heii\,$\lambda$4686\,\AA\ broad emission-line is determined
and its variability patterns are compared to those of the Balmer
lines.
The obtained results are summarized in Sect~\ref{sect-sum}.

\section[]{Observations and data reduction}
\label{sect-obs}
\subsection[]{Optical spectroscopy}

Optical spectra of 3C~390.3 have been obtained at the 2.6-m Shajn telescope
of the CrAO since 1992. The results of the observations for the periods
1992--2000, 2001--2007, and 1992--2014 are published in \citet{Ser02,Ser11,Ser17},
respectively. The spectra were registered at the two
separate spectral regions centered at the H$\alpha$ and H$\beta$ lines.
More details about observations, observational setup,
and spectral data processing are in \citet{Ser02,Ser11,Ser17}. Below I briefly
recall how the spectra of 3C~390.3 were calibrated in flux.

At first, the spectra have been scaled to match the
fluxes of the selected narrow emission lines which are assumed to be constant
over time-scales of the monitoring programme.
The scaling procedure has been performed according to the method of residuals
as described by \citet{Gro92}.
However,
in the case of 3C~390.3 the underlying difficulty is that there are evidences for
the narrow-line variability \citep{cl87,Zhe95,Ser17}.
A discrepancy between spectral and photometric light curves of 3C~390.3
\citep{Ser17} has been attributed to this variability.
So, it was assumed that the photometric
measurements are correct, while the spectral measurements are wrong
because this variability. Therefore, in \citet{Ser17}
the spectra were re-scaled to achieve an agreement between the spectral and
photometric data sets. To correct the spectral measurements,
the $\varphi(t)$ function has been recovered to re-scale the spectra
as described in \citet{Ser11}.
It was selected to be a small-degree polynomial function
of time \citep[see][]{Ser17}.

The narrow lines have been separated
from the broad-line profiles
as described in
\citet{Ser02,Ser07}.
So, low-state spectra of 3C~390.3 were used to isolate
the narrow-line components. Unfortunately, in contrast to \citet{Ser07},
the \oiii\,$\lambda$5007 line is apparently blended with the broad \hb\ line.
Therefore, as a first iteration,
it was adopted that there is no broad \hb\ line underneath
the \oiii\,$\lambda$5007 line profile, but only a continuum
with a constant flux. This continuum
was measured at the red side of the \oiii\ profile and then subtracted from
\oiii.
Taking in a mind that the lines of the \oiii\,$\lambda4959+5007$ doublet
are scaled and shifted versions of each other,
an initial \oiii\,$\lambda$4959 profile can easily be obtained.
After subtraction of this profile,
the red \hb\ wing on the blue side of the \oiii\,$\lambda$5007 profile is free of
narrow lines,
and we can use both the blue and red wavelength windows for a local
straight-line pseudo-continuum that represents the red wing of the broad
\hb\ line beneath the \oiii\,$\lambda$5007 line.
After the third iteration, there are no more changes in the
obtained \oiii\,$\lambda$5007 narrow-line profile.

The obtained \oiii\,$\lambda$5007 profile has been used as a template
to separate other narrow lines (\hb, \heii, \ha, \nii, \sii, \oi), again for the
low-state \hb\ and \ha-region spectra.
The separation of the narrow lines was based on the
assumption that a broad-line profile beneath the narrow
line(s) is sufficiently smooth for the low-order interpolation underneath
the narrow line(s) and that the narrow-line profiles are similar to
that of \oiii\,$\lambda$5007.
For this purpose, the multi-dimensional optimization
algorithm was used.
Finally, the spectrum of the narrow lines has been created in order
to obtain broad-line components by subtraction the narrow-line components
from each spectrum.

The subtraction of the narrow lines
has been applied to the spectra that were scaled in flux using the
narrow-line fluxes
\citep[\oiii\ and \oi\ in the \hb\ and \ha\ spectral
regions, respectively, see][]{Ser17}.
Since the narrow Balmer lines vary in flux stronger than that of
\oiii\ and \oi\ \citep{Ser17},
these lines were subtracted alone.
Then the narrow-line free \hb\ and \ha\
broad profiles were re-scaled using the $\varphi(t)$ scalefactor
to account for the narrow-line variability.

The \figref{narrow} illustrates the separation of the narrow lines
from the low-state mean spectrum, which was done by \citet{Ser02}.

\begin{figure}
  \includegraphics[width=\columnwidth]{narrow.eps}
\caption{
Remake and visualization of the separation of the narrow-line
components in the \hb-region in 3C~390.3, which was performed by \citet{Ser02}.
Top panel: Solid line is a mean of the low-state spectra, dashed line is
the \hb\ broad-line profile, dotted line is
the low-order interpolation underneath the \hb\ narrow-line profile
(see text for more details).
Horizontal line indicates the wavelength window for which
the red wing of the broad \hb\ line was assumed to be a straight line.
Bottom panel:
Narrow-line component that was used to obtain the \hb\ broad-line profile
for each spectrum.}
  \label{narrow}
\end{figure}

While uncertainties in our H$\alpha$-region fluxes are much greater than in the
H$\beta$-region ones because large uncertainties
in the flux-scaling factors determined from the relatively
weak \oi\,$\lambda$6300 narrow line,
the flux-independent profile shapes of H$\alpha$ are more reliable
than that of H$\beta$.

\subsection[]{Optical photometry}
\label{phot}

Regular CCD broad-band photometric observations of the selected AGNs, including
3C.390.3, have been started at the CrAO in 2001.
The instrumentation, reductions and measurements of our photometric data are
described in \citet{dor05} and \citet{se05}.
The {\it V\/}-filter photometric measurements of 3C~390.3
were calibrated to match the $F_{5100}$ spectral fluxes of the continuum
and to obtain a joined continuum light curve \citep[see][for more details]{Ser17}.

\section[]{Results}

\subsection[]{Light curves for individual profile segments}

\begin{figure*}
  \includegraphics[width=120mm]{mean-rms.eps}
\caption{Mean (solid lines) and rms (dashed lines) profiles of the broad \hb\
(left-hand panels) and \ha\ (right-hand panels) lines for the following
periods of observations (top-to-bottom): 1993--1997, 2005--2007, 2008--2014,
and 1992--2014.
The left-hand axes in each plot are for the mean fluxes, while the right-hand
axes in each plot are for the rms fluxes.}
  \label{mean-rms}
\end{figure*}

The \hb\ and \ha\ broad-line profiles were divided into eight
and ten velocity-space bins, respectively.
The bin boundaries are given in \tabref{tab-bins} and shown
in \figref{mean-rms}. The boundaries were chosen to have
approximately the same flux for each bin for the mean
as well as for rms profiles and by considering the four periods of observations
from \citet{Ser17}:
1993--1997, 2005--2007, 2008--2014,
and the entire period of CCD observations of 3C~390.3 at the CrAO (1992--2014).
The motivation for the data division into the periods is that
these periods were used for the cross-correlation analysis in
\citet{Ser02,Ser11,Ser17}. The 1998--2004 period has been excluded
from the cross-correlation analysis because
poor data sampling for both the \hb\ and \ha\ lines.
On the other hand, this division can be used to check for changes
in the variability characteristics, e.g. lag changes.
The light curves for the chosen bins were computed as given in
\citet{Ser02,Ser11}.

\begin{table}
\caption{Emission-line bins}
\label{tab-bins}
\begin{tabular}{lccc}
\hline
Bin  & Line & Boundaries  & Velocity      \\
No.  &      & (\AA)       & (\kms)\\
\hline
\hline
1  & \hb  & 5000--5045     & $-6424$ \\
2  & \hb  & 5045--5073     & $-4254$ \\
3  & \hb  & 5073--5101     & $-2599$ \\
4  & \hb  & 5101--5131     & $-886 $ \\
5  & \hb  & 5131--5163     & $+925 $ \\
6  & \hb  & 5163--5195     & $+2774$ \\
7  & \hb  & 5195--5227     & $+4620$ \\
8  & \hb  & 5227--5275     & $+6912$ \\
1  & \ha  & 6760--6808     & $-6253$ \\
2  & \ha  & 6808--6840     & $-4491$ \\
3  & \ha  & 6840--6867     & $-3198$ \\
4  & \ha  & 6867--6897     & $-1954$ \\
5  & \ha  & 6897--6927     & $-650 $ \\
6  & \ha  & 6927--6953     & $+562 $ \\
7  & \ha  & 6953--6985     & $+1812$ \\
8  & \ha  & 6985--7022     & $+3292$ \\
9  & \ha  & 7022--7058     & $+4850$ \\
10 & \ha  & 7058--7130     & $+7140$ \\
\end{tabular}
\end{table}

The narrow-line variability leads
to the appearance of fictive long-term trends in the
derived light curves when the obtained spectra are scaled in flux
using narrow-line fluxes.
All the results of the present paper are given
with accounting for this trend \citep[see][for more details]{Ser17}.

\subsection[]{Variability characteristics}
\label{sect-var}

The basic variability characteristics of 3C~390.3 for the
selected bins of the \hb\ and \ha\ broad-line profiles are summarized in
\tabref{var}. As in \citet{Ser17}, it was considered the four periods of observations:
1993--1997, 2005--2007, 2008--2014,
and the entire period of CCD observations of 3C~390.3 at the CrAO (1992--2014).
In \tabref{var}, the column ``Bin No.'' is the bin number, the $F_{var}$ parameter
is the rms fractional variability and the $R_{max}$ parameter is simply the
max-to-min ratio of fluxes. Both the parameters are corrected for the
observational uncertainties.

The considered variability characteristics for any light curve
can only be compared to another light curve when both of them
are sampled identically.
However, there is a notable difference in the sampling of our
\ha-region and \hb-region light curves.
To avoid effect of sampling I have selected quasi-simultaneous data
points from both regions to construct identically sampled light curves.
Their variability characteristics are given in
\tabref{var-sampl} and the $F_{var}$ parameter is shown in \figref{varfig}.

\begin{figure}
  \includegraphics[width=65mm]{var.eps}
\caption{Fractional variability amplitudes for the selected bins of the broad line profiles.
  Bottom panel shows amplitudes for the \hb\ (open circles) and \ha\ (open squares)
  lines for 1993--1997 (solid lines), 2005--2007 (dashed lines),
  and 2008--2014 (dotted lines). Middle panel shows amplitudes
  for the entire period of observations, i.e. 1992--2014. Top panel
  shows the mean normalized amplitudes for the three above periods.
  The \hb\ and \ha\ light curves
  are identically sampled in order to correct comparison of amplitudes
  between both lines (see also \tabref{var-sampl}).}
  \label{varfig}
\end{figure}

\begin{table*}
  \caption{Variability characteristics of the broad \ha, \hb, and \heii\,$\lambda4686$\,\AA\ emission-lines.}
  \label{var}
  \begin{tabular}{@{}lccccccccccccc@{}}
  \hline
Bin  & & \multicolumn{3}{c}{1993--1997} & \multicolumn{3}{c}{2005--2007} & \multicolumn{3}{c}{2008--2014} &\multicolumn{3}{c}{1992--2014} \\
 No. & Line & Mean & $F_{var}$ & $R_{max}$   & Mean & $F_{var}$ & $R_{max}$ & Mean & $F_{var}$ & $R_{max}$ &  Mean & $F_{var}$ & $R_{max}$ \\
  \hline
1     & \hb & 1.29  & 0.315  & 2.72 & 4.51 &  0.142 & 1.62 & 4.83  &  0.169 & 1.95   & 3.71  & 0.443 & 8.30 \\
2     & \hb & 2.00  & 0.316  & 2.90 & 5.34 &  0.125 & 1.55 & 4.70  &  0.247 & 2.49   & 4.06  & 0.398 & 6.80 \\
3     & \hb & 2.20  & 0.312  & 2.74 & 5.13 &  0.094 & 1.36 & 4.54  &  0.194 & 1.92   & 3.98  & 0.350 & 4.87 \\
4     & \hb & 2.39  & 0.316  & 2.44 & 4.55 &  0.092 & 1.36 & 4.89  &  0.137 & 1.75   & 4.01  & 0.324 & 4.67 \\
5     & \hb & 2.36  & 0.292  & 3.06 & 4.76 &  0.146 & 1.58 & 4.91  &  0.181 & 1.86   & 4.06  & 0.349 & 5.37 \\
6     & \hb & 1.99  & 0.306  & 2.41 & 4.77 &  0.116 & 1.41 & 4.16  &  0.218 & 2.15   & 3.64  & 0.371 & 5.02 \\
7     & \hb & 1.99  & 0.297  & 2.66 & 4.15 &  0.101 & 1.43 & 3.60  &  0.178 & 1.92   & 3.24  & 0.319 & 4.30 \\
8     & \hb & 2.12  & 0.203  & 2.06 & 3.31 &  0.072 & 1.27 & 3.78  &  0.158 & 1.64   & 3.15  & 0.269 & 3.12 \\
1--8  & \hb & 12.7  & 0.308  & 2.56 & 29.6 &  0.112 & 1.43 & 28.0  &  0.188 & 2.00   & 23.5  & 0.366 & 5.18 \\
1     & \ha & 5.46  & 0.199  & 2.14 & 16.5 &  0.159 & 1.50 & 20.4  &  0.052 & 1.34   & 10.4  & 0.601 & 5.92 \\
2     & \ha & 9.18  & 0.163  & 1.90 & 21.3 &  0.155 & 1.50 & 23.9  &  0.119 & 1.59   & 14.0  & 0.471 & 4.08 \\
3     & \ha & 9.09  & 0.159  & 1.78 & 19.1 &  0.123 & 1.38 & 19.7  &  0.081 & 1.48   & 12.7  & 0.390 & 3.14 \\
4     & \ha & 9.10  & 0.189  & 1.94 & 16.4 &  0.111 & 1.31 & 19.1  &  0.051 & 1.34   & 12.2  & 0.364 & 3.10 \\
5     & \ha & 9.09  & 0.172  & 1.86 & 14.0 &  0.129 & 1.30 & 17.2  &  0.063 & 1.41   & 11.2  & 0.335 & 2.85 \\
6     & \ha & 7.67  & 0.156  & 1.55 & 11.1 &  0.159 & 1.44 & 13.8  &  0.096 & 1.66   &  9.07 & 0.330 & 3.21 \\
7     & \ha & 8.34  & 0.161  & 1.62 & 14.7 &  0.177 & 1.58 & 17.7  &  0.115 & 1.69   & 10.9  & 0.399 & 3.20 \\
8     & \ha & 8.58  & 0.189  & 1.84 & 15.8 &  0.138 & 1.41 & 17.5  &  0.130 & 1.64   & 11.3  & 0.379 & 3.30 \\
9     & \ha & 8.11  & 0.180  & 1.84 & 12.9 &  0.066 & 1.23 & 12.9  &  0.107 & 1.55   &  9.58 & 0.274 & 2.50 \\
10    & \ha & 7.45  & 0.150  & 1.70 & 10.2 &  0.033 & 1.20 & 10.9  &  0.054 & 1.26   &  8.63 & 0.207 & 2.07 \\
1--10 & \ha &  83.8 & 0.155  & 1.76 & 155.9&  0.131 & 1.35 & 179.8 &  0.077 & 1.47   & 112.7 & 0.377 & 3.20 \\
$4820$--$4920$\AA & \heii &
              0.858 & 0.373  & 4.48 & 1.68 &  0.253 & 3.05 & 1.19  &  0.539 &$>10$   & 1.24  & 0.470 & $>10$\\

  \hline
\end{tabular}

\smallskip
{\footnotesize
Units for the `Mean' (mean flux) columns are $10^{-14}\,\ergs$.
}
\end{table*}

\begin{table*}
  \caption{Variability characteristics of the identically sampled broad \ha, \hb, and \heii\,$\lambda4686$\,\AA\ emission-lines}
  \label{var-sampl}
  \begin{tabular}{@{}lccccccccccccc@{}}
  \hline
Bin  & & \multicolumn{3}{c}{1993--1997} & \multicolumn{3}{c}{2005--2007} & \multicolumn{3}{c}{2008--2014} &\multicolumn{3}{c}{1992--2014} \\
 No. & Line & Mean & $F_{var}$ & $R_{max}$   & Mean & $F_{var}$ & $R_{max}$ & Mean & $F_{var}$ & $R_{max}$ &  Mean & $F_{var}$ & $R_{max}$ \\
  \hline
1     & \hb & 1.24 & 0.314  & 2.80 & 4.39 & 0.155  & 1.53 & 5.31 &  0.101 & 1.61 & 3.27 & 0.576 & 7.84 \\
2     & \hb & 1.90 & 0.328  & 2.75 & 5.33 & 0.140  & 1.41 & 5.43 &  0.159 & 1.99 & 3.75 & 0.487 & 6.35 \\
3     & \hb & 2.04 & 0.325  & 2.60 & 5.13 & 0.103  & 1.36 & 5.01 &  0.110 & 1.64 & 3.62 & 0.432 & 4.78 \\
4     & \hb & 2.23 & 0.323  & 2.35 & 4.59 & 0.111  & 1.36 & 5.28 &  0.080 & 1.43 & 3.67 & 0.416 & 4.07 \\
5     & \hb & 2.27 & 0.293  & 3.07 & 4.67 & 0.166  & 1.54 & 5.42 &  0.105 & 1.41 & 3.74 & 0.428 & 5.02 \\
6     & \hb & 1.90 & 0.302  & 2.47 & 4.70 & 0.123  & 1.45 & 4.78 &  0.139 & 1.53 & 3.39 & 0.447 & 4.38 \\
7     & \hb & 1.95 & 0.283  & 2.79 & 4.07 & 0.093  & 1.29 & 3.98 &  0.115 & 1.50 & 3.02 & 0.370 & 3.92 \\
8     & \hb & 2.05 & 0.217  & 1.89 & 3.30 & 0.077  & 1.26 & 3.74 &  0.102 & 1.47 & 2.87 & 0.294 & 3.10 \\
1--8  & \hb & 12.1 & 0.309  & 2.54 & 29.4 &  0.123 & 1.36 & 31.2 &  0.112 & 1.59 & 21.4 & 0.453 & 4.86 \\
1     & \ha & 5.57 & 0.214  & 1.86 & 16.7 & 0.149  & 1.53 & 20.5 &  0.036 & 1.21 & 12.9 & 0.528 & 5.13 \\
2     & \ha & 9.33 & 0.177  & 1.71 & 21.5 & 0.142  & 1.46 & 24.2 &  0.105 & 1.38 & 16.7 & 0.432 & 3.70 \\
3     & \ha & 9.16 & 0.173  & 1.66 & 19.3 & 0.113  & 1.36 & 20.0 &  0.063 & 1.24 & 14.7 & 0.364 & 2.86 \\
4     & \ha & 9.19 & 0.209  & 1.75 & 16.5 & 0.106  & 1.32 & 19.2 &  0.031 & 1.17 & 13.9 & 0.344 & 2.74 \\
5     & \ha & 9.21 & 0.191  & 1.69 & 14.1 & 0.122  & 1.32 & 17.3 &  0.049 & 1.37 & 12.6 & 0.322 & 2.57 \\
6     & \ha & 7.68 & 0.170  & 1.63 & 11.2 & 0.150  & 1.48 & 13.9 &  0.077 & 1.34 & 10.2 & 0.323 & 2.85 \\
7     & \ha & 8.30 & 0.165  & 1.60 & 14.8 & 0.164  & 1.59 & 17.9 &  0.097 & 1.39 & 12.6 & 0.382 & 3.21 \\
8     & \ha & 8.66 & 0.208  & 1.78 & 15.9 & 0.128  & 1.44 & 17.7 &  0.122 & 1.65 & 12.9 & 0.359 & 3.21 \\
9     & \ha & 8.14 & 0.188  & 1.94 & 13.0 & 0.061  & 1.25 & 13.1 &  0.096 & 1.32 & 10.6 & 0.264 & 2.66 \\
10    & \ha & 7.64 & 0.152  & 1.65 & 10.2 & 0.031  & 1.21 & 10.9 &  0.047 & 1.17 & 9.22 & 0.194 & 2.20 \\
1--10 & \ha & 84.9 & 0.168  & 1.55 & 157.1& 0.121  & 1.35 & 181.7&  0.060 & 1.28 & 129.1& 0.358 & 2.86 \\
$4820$--$4920$\AA & \heii &
             0.819 & 0.316  & 4.58 & 1.50 & 0.262  & 2.92 & 1.65 &  0.380 & 14.5 & 1.24 & 0.440 & 9.59 \\
  \hline
\end{tabular}

\smallskip
{\footnotesize
Units for the `Mean' (mean flux) columns are $10^{-14}\,\ergs$.
}
\end{table*}

As can be seen from \tabref{var} and \figref{varfig}, the variability
amplitude for 1992--2014 (both $F_{var}$ and $R_{max}$) is the largest
in the far blue wing (bin No.~1) of the \hb\ and \ha\ lines and
it is the smallest in the far red wing of both lines
(bins No.~8 and 10, respectively).
Except for these bins, the variability amplitude is slightly greater
in the blue wing as compared to the red wing.

\subsection{Velocity-resolved lag measurements}
\label{sect-lag}

The time delays between various light curves were determined
as in \citet{Ser02,Ser11,Ser17}, i.e. using the interpolation cross-correlation
function \citep[ICCF, e.g.][]{gas86, wh94}.
The results of the cross-correlation analysis are given in \tabref{tabccf}
and shown in \figref{lagvel}.
for the three periods of observations mentioned above: 1993--1997,
2005--2007, and 2008--2014.

\begin{table*}
  \scriptsize
  \caption{Cross-correlation results.}
  \label{tabccf}
  \begin{tabular}{lccccccccccc}
  \hline
Bin  & Line  & \multicolumn{3}{c}{1993--1997} & \multicolumn{3}{c}{2005--2007} & \multicolumn{3}{c}{2008--2014} & Mean\\
No.  &       & $\tau_{peak}$ & $\tau_{cent}$ & $r_{max}$  & $\tau_{peak}$ & $\tau_{cent}$ & $r_{max}$  &  $\tau_{peak}$ & $\tau_{cent}$ & $r_{max}$  & $\tau_{cent}$\\
\hline
1    & \hb   & $44.9^{+18.3 }_{-3.8 }$  & $51.8^{+12.4}_{-7.6 }$  & 0.932 & $105.2^{+11.7}_{-11.1 }$ & $108.5^{+4.0 }_{-11.7}$ & 0.807 & $57.1^{+11.7}_{-1.4 }$  & $67.1^{+5.6}_{-3.9}$    & 0.911 & $75.8\pm 12.2         $  \\
2    & \hb   & $48.8^{+10.0 }_{-4.9 }$  & $61.6^{+10.5}_{-7.5 }$  & 0.953 & $108.9^{+9.2 }_{-6.2  }$ & $113.8^{+2.0 }_{-7.3 }$ & 0.929 & $57.7^{+10.3}_{-1.0 }$  & $75.3^{+4.7}_{-2.7}$    & 0.966 & $83.6\pm 11.7         $  \\
3    & \hb   & $67.9^{+35.1 }_{-18.1}$  & $92.1^{+10.3}_{-9.8 }$  & 0.926 & $107.3^{+0.8 }_{-13.0 }$ & $106.3^{+2.8 }_{-9.0 }$ & 0.920 & $55.8^{+6.3 }_{-1.6 }$  & $71.3^{+5.1}_{-3.1}$    & 0.948 & $89.9\pm 8.4          $  \\
4    & \hb   & $68.1^{+28.3 }_{-16.7}$  & $84.9^{+10.3}_{-8.5 }$  & 0.936 & $108.3^{+14.8}_{-6.3  }$ & $115.4^{+3.6 }_{-11.1}$ & 0.883 & $55.7^{+23.5}_{-2.4 }$  & $70.7^{+6.4}_{-5.3}$    & 0.921 & $90.3\pm 10.1         $  \\
5    & \hb   & $49.7^{+16.0 }_{-5.0 }$  & $65.8^{+12.0}_{-6.6 }$  & 0.930 & $124.0^{+0.2 }_{-25.0 }$ & $114.7^{+3.5 }_{-9.5 }$ & 0.855 & $54.3^{+66.8}_{-4.1 }$  & $80.4^{+6.4}_{-5.6}$    & 0.910 & $87.0\pm 10.5         $  \\
6    & \hb   & $50.0^{+21.7 }_{-1.8 }$  & $73.8^{+14.0}_{-7.2 }$  & 0.918 & $107.2^{+6.5 }_{-13.0 }$ & $107.9^{+3.2 }_{-9.6 }$ & 0.875 & $54.9^{+30.4}_{-16.0}$  & $73.5^{+6.6}_{-5.5}$    & 0.921 & $85.1\pm 8.7          $  \\
7    & \hb   & $50.3^{+17.6 }_{-1.1 }$  & $64.6^{+16.5}_{-6.4 }$  & 0.918 & $80.1 ^{+5.0 }_{-9.9  }$ & $71.9 ^{+7.5 }_{-8.7 }$ & 0.889 & $54.9^{+3.9 }_{-8.1 }$  & $69.5^{+6.1}_{-5.1}$    & 0.919 & $68.7\pm 5.2          $  \\
8    & \hb   & $40.3^{+106.9}_{-7.6 }$  & $76.8^{+31.5}_{-40.0}$  & 0.825 & $77.2 ^{+14.6}_{-31.1 }$ & $70.6 ^{+18.5}_{-17.3}$ & 0.706 & $54.8^{+14.1}_{-4.9 }$  & $60.7^{+9.3}_{-8.8}$    & 0.508 & $69.4^{+10.9}_{-16.2} $  \\
1    & \ha   & $210.2^{+20.0}_{-14.9 }$ & $186.2^{+31.2}_{-14.0}$ & 0.854 & $182.8^{+35.9}_{-33.1}$  & $182.2^{+13.9}_{-18.1}$ & 0.937 & $113.8^{+71.4}_{-16.5}$ & $124.0^{+59.9}_{-32.6}$ & 0.709 & $164.1\pm 18.2        $  \\
2    & \ha   & $196.2^{+24.7}_{-17.4 }$ & $172.4^{+33.9}_{-10.1}$ & 0.870 & $183.1^{+34.8}_{-12.3}$  & $184.5^{+11.7}_{-16.9}$ & 0.956 & $113.9^{+21.3}_{-6.1 }$ & $123.3^{+23.6}_{-12.8}$ & 0.890 & $160.0\pm 15.0        $  \\
3    & \ha   & $219.9^{+21.2}_{-13.2 }$ & $212.4^{+23.1}_{-13.9}$ & 0.894 & $193.3^{+31.8}_{-9.1 }$  & $200.9^{+14.7}_{-20.9}$ & 0.940 & $116.8^{+19.3}_{-11.8}$ & $118.8^{+26.6}_{-17.5}$ & 0.870 & $177.4\pm 23.2        $  \\
4    & \ha   & $208.2^{+28.5}_{-12.4 }$ & $201.2^{+25.6}_{-12.4}$ & 0.908 & $223.7^{+4.1 }_{-41.4}$  & $201.1^{+16.0}_{-21.8}$ & 0.940 & $116.9^{+64.4}_{-41.7}$ & $128.9^{+45.6}_{-42.5}$ & 0.655 & $177.1\pm 20.2        $  \\
5    & \ha   & $196.0^{+28.1}_{-48.0 }$ & $176.0^{+29.3}_{-17.1}$ & 0.868 & $189.8^{+33.1}_{-29.1}$  & $190.9^{+17.5}_{-24.9}$ & 0.939 & $180.8^{+23.5}_{-67.0}$ & $165.8^{+30.2}_{-45.3}$ & 0.643 & $177.6\pm 16.3        $  \\
6    & \ha   & $91.7 ^{+81.0}_{-11.4 }$ & $115.4^{+47.2}_{-22.9}$ & 0.721 & $182.8^{+24.1}_{-45.0}$  & $177.4^{+16.1}_{-22.1}$ & 0.942 & $181.0^{+6.1 }_{-60.2}$ & $163.2^{+22.3}_{-21.9}$ & 0.816 & $152.0\pm 15.6        $  \\
7    & \ha   & $93.8 ^{+59.0}_{-12.8 }$ & $109.4^{+41.9}_{-8.8 }$ & 0.689 & $182.8^{+17.0}_{-45.7}$  & $173.7^{+13.0}_{-18.0}$ & 0.929 & $135.2^{+45.7}_{-18.1}$ & $153.2^{+17.9}_{-19.1}$ & 0.868 & $145.5\pm 11.8        $  \\
8    & \ha   & $91.7 ^{+83.4}_{-4.4  }$ & $131.8^{+24.9}_{-8.2 }$ & 0.841 & $179.2^{+10.1}_{-45.5}$  & $167.9^{+12.5}_{-18.6}$ & 0.942 & $171.8^{+45.9}_{-52.6}$ & $171.0^{+19.7}_{-25.7}$ & 0.762 & $156.9\pm 11.5        $  \\
9    & \ha   & $76.9 ^{+58.9}_{-8.1  }$ & $98.3 ^{+39.3}_{-7.8 }$ & 0.789 & $188.1^{+8.9 }_{-87.4}$  & $161.9^{+29.7}_{-54.7}$ & 0.851 & $116.9^{+35.0}_{-4.6 }$ & $134.6^{+24.9}_{-19.0}$ & 0.852 & $131.6\pm 17.2        $  \\
10   & \ha   & $195.9^{+40.9}_{-111.7}$ & $152.6^{+65.7}_{-25.9}$ & 0.740 & $197.0^{+52.2}_{-110 }$  & $211.5^{+33.3}_{-124 }$ & 0.698 & $116.8^{+35.5}_{-118 }$ & $115.9^{+42.7}_{-74.3}$ & 0.233 & $160.0\pm 34.2        $  \\
---  & \heii\,$\lambda$4686\,\AA &
               $23.1^{+24.2}_{-13.1}$   & $32.6^{+18.9}_{-13.9}$  & 0.812 & $39.3^{+9.9}_{-7.0}$     & $37.2^{+6.9}_{-7.6}$    & 0.836 & $22.9^{+1.0}_{-14.8}$   & $13.0^{+7.7}_{-8.3}$    & 0.908 & $25.9\pm 8.2          $  \\
\hline
\end{tabular}
\end{table*}

\begin{figure*}
  \includegraphics[width=140mm]{lag-vel.eps}
\caption{Velocity-resolved lag measurements for the \ha\ line (top set of panels)
and for the \hb\ line (bottom set of panels) for the three observational
periods (left to right): 1993--1997, 2005--2007, and 2008--2014. Dashed lines
represent time delays expected from the Keplerian disc model (see text).
Vertical dashed lines are the bin boundaries.}
  \label{lagvel}
\end{figure*}

\begin{figure}
  \includegraphics[width=60mm]{lag-mean.eps}
\caption{Velocity-resolved lag measurements for the \ha\ line (top panel)
and for the \hb\ line (bottom panel). Filled circles are unweighted mean
lag over three periods of observations (lag measurements for each period
are shown in \figref{lagvel}), while
open squares are time delays obtained from the entire observational period
but with removing a long-term trend (see text).
Dashed lines and dotted line
represent time delays as expected from the Keplerian disc model
and from the spherically symmetrical shell with radial infall motion.
The filled circles are offset by $+400$\,\kms\ for clarity.
The thick dashed lines represent best fit to the open squares
by varying the black hole mass in terms of the Keplerian disc model.
Vertical dashed lines are the bin boundaries.}
  \label{lagmean}
\end{figure}

\begin{figure}  \includegraphics[width=60mm]{vel-map-model.eps}
\caption{Solid line in the top panel is
the observed broad profile of the  \hb\ line. Dashed and dotted lines in the same
panel are fit to the observed profile in terms of the Keplerian disk model
and the spherically symmetric shell with the radial infall motion, respectively.
Bottom panel shows a velocity-resolved lag as expected from both models.}
  \label{lag-mod}
\end{figure}

The lags were measured
from both the location of the maximum value of the ICCF correlation coefficient
($r_{max}$) and from the ICCF centroid based on all points with $r \geq 0.8r_{max}$
(designated as $\tau_{peak}$ and $\tau_{cent}$, respectively).
The lag uncertainties were computed using the model-independent Monte Carlo flux
randomization/random subset selection (FR/RSS) technique described by
\citet{Pet98}. Also given in the last column of Table~\ref{tabccf}
and shown in \figref{lagmean}
is unweighted mean lag for the three periods
of observations. The uncertainties in the mean lag were computed
as described in \citet{Ser17}. Except the bin~\#8 of the \hb\ line,
the derived probability
distributions of the mean lag were found to be close to the normal
distribution, so only $\pm$ uncertainties are given
(no $+$ and $-$ separately).

As was shown in \citet{Ser17} the reverberation mapping can only be applied to the entire
period of observations of the 3C~390.3 nucleus after
removing a long-term trend. This trend has been expressed by a slowly varying
scalefactor $c(t)$ in the power-law relationship
between the line and continuum fluxes:  $F_{line}\propto c(t)\,F_{cont}^a$.
In \citet{Ser17}, a power-law index $a$ was found to be $0.77$ and $0.54$
for the \hb\ and \ha\ total fluxes, respectively. This lag has been computed
for the considered bins and it is shown in \figref{lagmean}.
As can be seen from \figref{lagmean}, the lag for the entire period
is slightly less than the lag averaged over the individual periods
(the lag from \tabref{tabccf}, last column).

Finally, it was checked what the velocity-dependent lag is expected
from the simplest kinematic models of the BLR.
In \citet{Ser02} a model profile produced by the relativistic Keplerian disc
configuration \citep[e.g.][]{ch89b, er94} has been fitted to the mean observed
profiles of the \hb\ and \ha\ lines. For the \hb\ line, the following disc parameters
have been obtained: $r_{in} = 104\,r_g$,
$r_{out} = 840\,r_g$, $i=27\degr.6$, and $\alpha = 2.48$, where $r_g = 2\,G\,M /
c^2$ is the gravitational radius and the disc parameters are the inner/outer
radii, inclination angle ($i=0$ for pole-on configuration), and emissivity
per unit surface: $\varepsilon(r) \propto r^{-\alpha}$. \figref{lag-mod} shows
the observed and fitted profiles for this configuration as well as
the lag--velocity dependence expected from.
To simulate observed \hb\ and \ha\ light curves, the model-dependent
mass of the central
black hole has been set to $2.5\times 10^9\,M_\odot$ and $4.1\times 10^9\,M_\odot$
for the \hb\ and \ha\ lines, respectively
\citep[see Sect.~3.5, Table~7 from][]{Ser17}. The mass difference
probably reflects a difference between kinematics of the emission regions of both lines.
The expected lag--velocity dependence for the Keplerian disc model is shown
in \figref{lagvel} and \ref{lagmean} by dashed lines. The thick dashed line
in \figref{lagmean}
represents the best fit to the observed lag--velocity dependence
by varying the black hole mass in terms of the Keplerian disc model.
The best fit gives the black hole mass of
$2.4\times 10^9\,M_\odot$ and $3.1\times 10^9\,M_\odot$
for the \hb\ and \ha\ lines, respectively.

Similarly, I have considered
a spherically symmetric shell with radial free fall motion. The fitting results
for the \hb\ line
and the expected lag--velocity dependence for this configuration
are shown in the \figref{lagmean}.
For the \hb\ line the following shell parameters
have been obtained: $r_{in} = 510\,r_g$,
$r_{out} = 4450\,r_g$, and $\alpha = 3.22$, where emissivity
per unit volume is $\varepsilon(r) \propto r^{-\alpha}$.
The model-dependent black hole mass has been selected to match
the observed lag for the
total \hb\ fluxes and it was found to be $5.0\times 10^8\,M_\odot$.

It is obvious that the observed velocity-dependent lag
strongly contradicts the spherical infall configuration for which
a maximum lag value among the bins in the blue wing should exceed
a minimum lag value among the bins in the red wing by 15 times
(\figref{lagmean}).
Instead, the observed dependence is similar to that expected from the
disc configuration as can be seen from \figref{lagvel} and \ref{lagmean},
although there are some differences. E.g. the observed lag for the bin~\#7
for the \hb\ line is significantly less than the expected from the disk model
and the observed lag--velocity dependence does not look clearly
a double-peaked as expected. Also, it seems that the blue wing lag is
greater than the red wing lag, that is a signature of infall motion.
However, the significance of the lag difference between both wings as compared
to the expected difference in terms of the considered disc model
was found to be $\approx 2.5\sigma$, so the presence of an additional infall motion
is not significant enough.

There are numerous observational evidences for the existence
of the gas infall motion in AGNs, e.g.
reverberation mapping results \citep{Den09,Gri13,Gri17} or redshifted absorption lines
\citep{Shi16,Rub2017,Zhou2019}. It is obvious that there must be mechanisms for
angular momentum loss of the line-emitting gas for such a motion.
These mechanisms (except for galaxy interactions) can, for example, be the
tidally disrupted dusty clumps \citep{Wang2017}
or magneto-rotational instability \citep{Gas13}.

\subsection{\heii\,$\lambda4686$\,\AA}
\label{sect-heii}

Since the broad \heii\,$\lambda4686$\,\AA\ line is blended with the
broad \hb\ line, it is impossible to measure its total flux. So, its
flux has been measured in the blue wing at the wavelength range
of 4820--4920\,\AA\ (heliocentric reference frame), that is at the
line-of-sight velocity range from $-7730$ to $-1570$\,\kms.
It seems that the broad \heii\
line is free from any other broad-line features at above range.
Several weak narrow-line features were removed from the
broad \heii\ profile using the \oiii\,$\lambda$5007\,\AA\ narrow-line profile
as a template in order to obtain a pure \heii\ broad-line fluxes.
The continuum zones for the \heii\ line were chosen to be
4428--4448\AA\ and 4735--4775\AA. The narrow \heii\
line fluxes have been measured as well using the \oiii\ line profile
as a template to separate \heii\ narrow line from the \heii$+$\hb\ broad
line profiles.

Both the broad and narrow \heii\ line light curves are shown
in \figref{lc-heii}. The optical continuum and the \hb\ light curves
from \citet{Ser17}
are shown in the same figure for comparison.
The variability characteristics of the broad \heii\ line are given in \tabref{var}
and \ref{var-sampl}, last rows.
Both the $F_{var}$ and $R_{max}$ values are corrected
for the observational uncertainties.
As can be seen from \tabref{var} and \ref{var-sampl} the variability
amplitude of the broad \heii\ line is greater than that of the Balmer lines
for all observational periods. However,
the \heii\ fractional variability amplitude ($F_{var}$)
for the {\em entire} observational period is comparable to that of \hb\
(\tabref{var-sampl}), while the
max-to-min ratio of fluxes ($R_{max}$) is much greater for the \heii\ line.
This is because the Balmer lines and the optical continuum contain
a long-term trend that is not seen in the helium line
(\figref{lc-heii}).
This trend provides
an additional increase in the variability amplitude of the Balmer lines
and the optical continuum as compared to the \heii\ line
when the entire observational period is considered.

\begin{figure}
  \includegraphics[width=0.78\columnwidth]{rms-heii.eps}
\caption{
Mean (solid lines) and rms (dashed lines) profiles of the
\heii\,$\lambda4686$\,\AA\ line superposed on the far blue wing of the broad \hb\ line
for the following periods of observations (top-to-bottom): 1993--1997, 2005--2007, 2008--2014,
and 1992--2014. The left-hand axes are the mean fluxes, while the right-hand
axes are the rms fluxes. The rms pfofiles consist the broad-line components
only (narrow-line components are previously subtracted), while the mean profiles
consist both the broad and narrow components. Vertical dotted lines indicate
zero velocity, while the solid horizontal line at the bottom panel indicates
the intergration zone to obtain the light curve of the broad \heii\ line.
The variability of the narrow \heii\ line is clearly seen.}
  \label{rms-heii}
\end{figure}

The narrow \heii\ line is variable as well with
the variability amplitude $R_{max}\approx 3$. It is greater than the variability
amplitudes of both the narrow Balmer lines ($R_{max} = 1.6$) and
narrow \oiii\ line ($R_{max} = 1.3$), see \citet{Ser17}.
The cross-correlation function for the narrow \heii\ light curve
gives a response to the continuum variations with a lag
of $\tau_{cent} = 1298^{+90}_{-78}$\,d. and $r_{max} = 0.825$.
However, cross-correlation analysis can not be applicable in this case because
the narrow \heii\ light curve is not only time-shifted, but too smooth.
It does not trace continuum events except for the long-term trend.

\begin{figure}
  \includegraphics[width=\columnwidth]{lc-heii.eps}
\caption{Light curves (top to bottom) for the continuum at
$\lambda$5100\AA\ and for the broad \hb\ and broad
and narrow \heii\,$\lambda4686$\,\AA\ emission lines. The vertical
error bar in the bottom panel represents uncertainties derived from
the point-to-point scattering.}
  \label{lc-heii}
\end{figure}

The cross-correlation results for the broad \heii\ line are given in \tabref{tabccf},
last row.
As can be seen from \tabref{tabccf}, the lag uncertainty for the \heii\ line
for 1993--1997 is more than twice greater than the uncertainties for
2005--2007 and 2008--2014, while the uncertainties for the last two periods
are approximately the same.  Therefore the mean lag value in the last colum
and last row of \tabref{tabccf} is a weighted mean.
The statistical weights were chosen to be 1/4, 1, and 1 for above three periods.
The uncertainty in the mean lag value was computed as described in \citet{Ser17}
using probability distributions for $\tau_{cent}$ for each period.
These distributions were obtained using the model-independent Monte Carlo flux
randomization/random subset selection (FR/RSS) technique described by
\citet{Pet98} and they are shown in \figref{hst-heii}.
The mean lag value for the \heii\ line is $26\pm 8$\,d, significantly less
than that of the Balmer lines \citep[cf.][]{Ser17},
so the \heii\ emission region is much smaller in size.

\begin{figure}
  \includegraphics[width=60mm]{hst-heii.eps}
\caption{Probability distributions for a lag ($\tau_{cent}$) between
  optical continuum  and \heii\,$\lambda 4686$\,\AA\ broad emission line
  for 1993--1997 (filled circles connected by a solid line), 2005--2007
 (open circles connected by a dashed line), and 2008--2014
 (open squares connected by a dotted line). The distributions are derived
  from the FR/RSS technique.}
  \label{hst-heii}
\end{figure}

Finally, I have applied the cross-correlation analysis for the \heii\ line
to the entire observational period, but with
removing a long-term trend. As for the Balmer lines
in \citet{Ser17}, this trend has been expressed by a slowly varying
scalefactor $c(t)$ in the power-law relationship
between the line and continuum fluxes:  $F_{line}\propto c(t)\,F_{cont}^a$.
The lag was found to be $25.9^{+7.2}_{-9.0}$\,d, while
a power-law index $a$ equals to $1.03$. In \citet{Ser17}
this index was found to be $0.77$ and $0.54$
for the \hb\ and \ha\ total fluxes, respectively.
So, the variability amplitude must be largest in the \heii\ line,
less in \hb, and more less in \ha, just as observed.

\section[]{Summary}
\label{sect-sum}

\begin{enumerate}

\item
The observed velocity-dependent lag for the Balmer lines
is similar to that expected from the Keplerian disc configuration,
although there are some differences.
Probably, a radial infall motion can be present in the BLR of 3C~390.3
in addition to the Keplerian rotation.

\item
The mean weighted lag of the broad \heii\,$\lambda$4686\AA\ emission line
is $26\pm 8$\,d,
significantly less than that of the Balmer lines \citep[cf.][]{Ser17},
so the \heii\ emission
region is much smaller in size. This value need to be corrected
for time dilation by dividing by $1+z$ to put it into the rest frame.

\item
In terms of the power-law relationship between line and continuum fluxes
in 3C~390.3:
$F_{line}\propto c(t)\,F_{cont}^a$, where $c(t)$ is a
slowly varying scalefactor, a power-law index $a$
for the broad \heii\,$\lambda$4686\AA\ line
is equal to $1.03$, while according to \cite{Ser17}
it is equal to $0.77$ and $0.54$ for the \hb\ and \ha\ lines, respectively.
It means that the variability amplitude is
the largest in the \heii, less in \hb, and more less in \ha.
However, the \heii\ variability amplitude ($F_{var}$)
for the {\em entire} observational period is comparable to that of \hb\
because the Balmer lines and optical continuum light curves
both contain a long-term trend that is not seen in the helium line.

\item
The narrow \heii\,$\lambda$4686\AA\ line is variable with
the variability amplitude $R_{max}\approx 3$. It is greater than the variability
amplitudes of both the narrow Balmer lines ($R_{max} = 1.6$) and
the narrow \oiii\,$\lambda$5007\,\AA\ line ($R_{max} = 1.3$), see \citet{Ser17}. So, the narrow
\heii\ line emission region is more compact than that of the Balmer lines and \oiii.

\item
The variability amplitude is found to be
the largest in the far blue wing of the broad \hb\ and \ha\ lines and
it is the smallest in the far red wing of both lines.

\end{enumerate}

\section*{Acknowledgments}

The CrAO CCD cameras have been purchased through the US Civilian Research
and Development Foundation for the Independent States of the Former Soviet
Union (CRDF) awards UP1-2116 and UP1-2549-CR-03.

redpajama_set_name: RedPajamaArXiv


Bengaluru has witnessed highest sales in residential units across the country during the second quarter of 2018, which was aided by renewed interest from IT/ITeS professionals owing to mitigated job risks in the IT sector.
The tech city has seen a jump of 32% in the housing sales between April and June 2018 at 14,600 units compared with 11,050 units sold during the same period a year ago.
"The overall favourable economic environment and increased commercial activity in the city led by the IT/ITeS sectors, residential activity has been gaining momentum," Anuj Puri, Chairman, Anarock Property Consultants said.
The second highest growth was seen by Hyderabad although less than half the growth Bengaluru has seen. The city saw sales of 4,750 units in the quarter, up 15.9% from 4,100 units in the year-ago period.
Other than, Bengaluru and Hyderabad, only Kolkata saw the growth in the housing sales, albeit a marginal 5% jump. "Developers are working hard on clearing unsold inventory with attractive schemes, freebies and discounts. Moreover, the positive impact of the policy reforms including RERA and GST have begun to bear fruit," Puri said.
During last year, the city's job market was hit terribly as most of the Tier-I and Tier-II IT companies resorted to job cuts, due to increasing costs arising out of global headwinds and uncertainties. Most of the city-based IT majors, including Infosys and Wipro, had reported stress on their margins.
Additionally, with increased commercial activity in the city led by the technology sector, residential activity has been gaining momentum over the last six months.
The jump in residential unit sales has helped Bengaluru surpass Delhi-NCR, which has seen 2.6% decline in its sales to 11,150 units during the period.
In terms of new launches during the quarter, Bengaluru saw a jump of 153% year-on-year. The property developers added 8,800 new dwelling units between April and June, compared with 3,450 units in the corresponding quarter last year. The affordable housing segment constituted about 25% of the overall supply at 2,150 units.
On an all-India basis, the housing market continued to be dominated by the affordable and mid-priced segment, with 77% of launches (38,600 units) being added in the budget category of less than Rs 80 lakh, according to Anarock.
"If we delve deeper, affordable segment comprised of a whopping 46% share of the total new launches in Q2 2018," Puri added.


text:
BIG SIXTH INNING POWERS UM PAST NO.1 TEXAS 5-3
Fran LaBelle, Staff WriterSUN-SENTINEL
The University of Miami learned Saturday night that it cannot hit big-league pitching. It also learned that there are not many major leaguers playing collegiate ball.
As a result, the second-ranked Hurricanes weathered the pro-caliber pitching of Greg Swindell to take a 5-3 opening-night victory over No. 1 Texas before a Mark Light Stadium record crowd of 8,277.
The left-handed Swindell, who entered the game with a 33-4 career record and a 1.84 earned run average, was scheduled to pitch five innings for the Longhorns. He did just that, leaving with a 3-0 lead and yielding only two hits while striking out eight and walking none.
Swindell, however, was replaced by Rusty Richards, who gave up three hits and four earned runs before he was yanked in the sixth. He deservedly got the loss.
"It was like our eyes lit up as soon as Swindell left the game," said Miami reliever Rick Raether, who pitched the final three innings to earn the save. "Our hitters felt that they would have beaten Swindell anyway. When he left, they figured their job was easier."
Both Swindell and the Hurricanes knew that he would only be around for five innings. This marked the earliest the Longhorns had ever began a season, and coach Cliff Gustafson didn't want to burn out his ace.
"I knew coming in I wouldn't let him go more than five," Gustafson said. "He probably could have gone another inning, but it really wouldn't have been worth it."
Miami coach Ron Fraser, however, felt his team had started to play well enough that it didn't matter who was throwing.
"Swindell is everything you've heard he is, and he's better," Fraser said. "We didn't know how long he would be in, and we went in there thinking it was him we had to beat. I was very happy that we came back, because Texas looks to be an even better team than last year.
"Our hitting came around, and that allowed us to put in Spiderman (Raether). Because if we aren't tied or have the lead, he don't go in. I think we would have caught Swindell, anyway."
Swindell came out with off-speed stuff, which surprised the Hurricanes and the largest Mark Light crowd ever, breaking the record of 7,268 which saw Miami's 14-6 victory over Florida State five years ago in the South I regional tournament. Everyone expected heat.
"My coach and I talked about this, and it is getting late in my career," said Swindell, a junior. "I threw a slider and two changeups, and all the rest were curves and fastballs. I really liked how I threw my curve."
Miami didn't like any part of Swindell's repetoire.
He began the action for Texas, when he struck out Miami in order in the second inning.
That apparently was the cue for the rest of the Longhorns to get their act together. First baseman Bobby Behnsch got the message as he drove a 0-1 pitch from winning pitcher Dan Davies (1-0) to left-center. The ball hugged the wall, making center fielder Rick Richardi's leaping effort a useless one. By the time the Hurricanes had fielded the ball, Behnsch was sliding safely into third.
It took only two pitches for the Hurricanes to fall behind 2-0. That happened when second baseman Todd Haney pulled a 1-1 Davies' curve and deposited the ball down the left-field line and into the parking lot.
Swindell again moved to center stage, protecting his team's lead by striking out five of the next nine batters. Meanwhile, designated hitter Kevin Garner gave Texas a 3-0 lead with a lead-off homer in the fifth.
It was no coincidence that Miami's biggest inning came with Swindell's departure. The Miami sixth began when catcher Chris Magno, who missed Miami's championship victory over the Longhorns last year because of a blood clot in his right arm, took a 2-0 pitch by Richards to right, then went on to third on a throwing error by right fielder Scott Coolbaugh. A walk to second baseman John Noce, RBI singles by Richardi and shortstop Joe Nelson and a walk to left fielder Mike Fiore spelled the end of Richards.
Mark Petkovsek replaced Richards and found the going just as rough. Greg Ellena, the Most Valuable Player of the College World Series last year who is nursing a sore hamstring, hit into a fielder's choice to score Richardi. First baseman Frank Dominguez's double off the center-field wall brought in Nelson, who had stolen second following his hit. Right fielder Greg Vaughn added Miami's final run on a sacrifice fly, and the Hurricanes left the inning with a 5-3 lead.
The series concludes today at 12:30 p.m. The game was originally scheduled Friday night, but postponed because of rain.

redpajama_set_name: RedPajamaCommonCrawl


ConocoPhillips's most recent trend suggests a bullish bias. One trading opportunity on ConocoPhillips is a Bull Put Spread using a strike $70.00 short put and a strike $65.00 long put offers a potential 6.61% return on risk over the next 29 calendar days. Maximum profit would be generated if the Bull Put Spread were to expire worthless, which would occur if the stock were above $70.00 by expiration. The full premium credit of $0.31 would be kept by the premium seller. The risk of $4.69 would be incurred if the stock dropped below the $65.00 long put strike price.
The 5-day moving average is moving up which suggests that the short-term momentum for ConocoPhillips is bullish and the probability of a rise in share price is higher if the stock starts trending.
The 20-day moving average is moving up which suggests that the medium-term momentum for ConocoPhillips is bullish.
The RSI indicator is at 78.65 level which suggests that the stock is neither overbought nor oversold at this time.
Motley Fool – While refining and marketing can produce high revenues, exploration and production companies like this industry-leader can produce hefty profits.
CNBC – The "Fast Money" traders share their final trades of the day.


Comic Con Junior will be held at the Northampton Community Center (1435 Todds Ln, #A, Hampton, VA 23666). They are going to have a dedicated area for the four groups: RL, GT, the Droid Builders, and the Mando Mercs. This is a free, family-friendly event.
If you'd like to attend, please respond below with the costume you plan on wearing. Don't let doubles of a costume stop you! I plan on wearing my X-Wing pilot.
I won't be able to attend this event either, as it's the day we're finally due to be back home.
I can do Chewie for a 2-3 hrs--daughter has soccer at 2:00 pm.
Great! Let me know if you need anything. I'll be getting back into town right about the time this event ends tomorrow, but I'll be available online.


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Home » Sigmund Freud2 » Sigmund Freud2 Essay Examples
Sigmund Freud2 Essay Examples
His theories and treatments were to change forever our conception of the human condition.
Sigmund Freud was born in Freiberg, Moravia, a part of the Austrian empire at that time, on May 6, 1856. Today it is a part of Czechoslovakia. He was raised in the traditions and beliefs of the Jewish religion.
Freud considered a career in law but found legal affairs dull, and so, though he later admitted to "no particular predilection for the career of a physician" he chose a medical career. In 1873 he entered the University of Vienna but did not graduate until 1881.
In the spring of 1884 Freud began to experiment with cocaine. He found that the drug relieved his feelings of depression, turned his bad moods into cheerfulness, and helped him work. During the years 1886-87 Sigmund Freud studies hypnosis as a therapeutic treatment.
He published many aricles and books in his lifetime.
Such as "The Psychopathology of Everyday Life" in 1900, which explored everyday errors in speech, "A Seventeenth-Century Demonological Neurosis" during 1922 and "The Ego and the Id" in 1923. In cooperation with Josef Breuer in 1895, and at the age of 39, Sigmund Freud publishes "Studien ber Hysterie" and for the first time he succeeds in analysing one of his own dreams. The Psychopathology of Everyday Life, which explored everyday errors in speech, which he believed, were of in 1896, Sigmund Freud applies the term "psychoanalysis" for the first time and he started with his self-analysis.
In 1901 Sigmund Freud starts analysing 18-year old Dora and in 1902 is appointed professor at the University of Vienna and the foundation of the "Psychological Wednesday Society". Freud never saw her again after that but in 1905, he published "Fragment of an Analysis of a Case of Hysteria," better known as the case of Dora. Dora was not actually a hysterical patient.
During 1926 on the occasion of his 70th birthday Sigmund Freud was loaded with honours for his work.
Sndor Ferenczi refuses the office of President of the International Psycho-Analytical Association in 1932 due to conflicting ideas with Freud on aspects of psychoanalysis. Sigmund Freud exchanges letters with Albert Einstein on the question "Why War?".
In 1935 Sigmund Freud is appointed Honorary Member of the British Royal Society of Medicine, and later dies on September 23,1939.
Sigmund Freud's revolutionary ideas have set the standard for modern psychoanalysis in which students of psychology can learn from his ideas spread from the field of medicine to daily living. His studies in areas such as unconsciousness, dreams, sexuality, the Oedipus complex, and sexual maladjustments laid the foundation for future studies. In result, better understanding of the small things, which shape our lives.
He was the first to talk about psychoanalysis, a technique that allows an individual to recount dreams by what psychologists call free association. Free association is the individual saying whatever comes to mind when something is said. The definition of psychoanalysis can best be defined as "emphasising the roles of unconscious mental forces and conflicts in determining behaviour." The main branch of psychology is "normal thinking" of the mind. Freud thought that many of our problems lived inside of our unconsciousness and that we where not aware of this.
In Freud's psychoanalysis, he believed that all humans were born with instincts, which drives a person to act the way in which they do. There are two classifications for this, they are the libido, this is based on sexual pleasures, and the second type is called aggression this motivates the behaviour. This type of thinking happens from the time a person is born, according to Freud. When growing up, the child will go though three different libidinal stages. The first is called the oral stage, in this stage the infant takes his or her thumb and stimulates the mouth with it, we may know this act as the baby sucking his or her thumb. The second stage of libidinal is the anal stage. In this stage, pleasures like the ones in the oral stage are similar.
These pleasures are repeated through pleasures to the anus. The bowel movements mark this pleasure. The final stage in the libidinal stages of a child is the phallic stage. This is done when the child manipulates their genitalia in order for gratification. Freud thought that a child in the phallic stage had a strong attraction to the parent of the opposite sex. He called this Oedipus complex. Most people throughout the world turned against this idea of Freud's. Which was the attraction to the parent of the opposite sex. According to Freud, the child is taught to turn against those feelings and desires which then fall into their unconscious minds. This leads to three defence mechanisms of the mind in Freud's psychosexual theory of personality development. The first one is the ID, this is "the unconscious system of the personality, which contains the life and death instincts and operates only on the pleasure principle." The ID is completely unconscious and is the source of basic impulses and drives; it is the biological reservoir that underlies all actions. It operates in accordance with the pleasure principle and seeks immediate gratification and satisfaction.
The second is known as the Ego, "in Freudian theory, the rational, largely conscious system of personality, which operates according to the reality principle. It derives its energy from the ID, but it is the instrument of reason and sanity. Much of the ego is conscious, and uses memory, perception of the environment, and habits to perform the role of a rational executive. The last and final stage in the Freudian theory is the Superego. By definition the Superego can best be defined as "the moral system of the personality, which consists of the conscience and the ego ideal." It incorporates absolute standards of morality and ethics. Certain avenues of satisfaction are not allowed, and so, loosely speaking, the superego plays the role of the conscience. According to Freud, they all function together in a healthy personality largely as a result of a strong ego. When the Id, Ego, and Superego clash, a problem can occur. What can happen is a person can have nightmares or a slip of the tongue can happen. When a traumatic event takes place, the Id, Ego and Superego become significantly out of balance. If this should occur, then a psychological disorder is present. The psychological disorder includes: depression, anxiety, hysteria, and phobias. This is known as psychoneurotic theory. Hysteria was called the first application of psychoanalytical treatment back then. Hysteria today is referred to as a conversion disorder. This sickness can intrude on a completely healthy person. The symptoms include numbness or paralysis of limbs, blindness or laryngitis. In Freud's theory of psychoanalysis, he believes that this can be caused by fantasies produced by the unconscious mind. One must bear in mind that the id, ego and superego are only metaphors despite the fact that Freud wrote of them as though they were real entities resident somewhere within the person.
Unlike his companion Charcot, Freud believed that based on his clinical studies, some mental disorders like hysteria were based on sexual manner. For example, Freud linked "the etiologic of neurotic symptoms to the same struggle between a sexual feeling or urge and the psychic defences against it". He felt that being able to talk about such problems were crucial in helping the patient and using free association was the best way to confront and treat these feelings. In his clinical observations Freud found evidence for the mental mechanisms of repression and resistance. He described repression as a device operating unconsciously to make the memory of painful or threatening events inaccessible to the conscious mind. Resistance is defined as the unconscious defence against awareness of repressed experiences in order to avoid the resulting anxiety. He traced the operation of unconscious processes, using the free associations of the patient to guide him in the interpretation of dreams and slips of speech. He also developed the theory of transference, the process by which emotional attitudes, established originally toward parental figures in childhood, are transferred in later life to other.
The end of this period was marked by Freud's most important work, The Interpretation of Dreams in 1900. Here Freud analysed many of his own dreams recorded in the 3-year period of his self-analysis, begun in 1897 ("Freud: Interpretation Of Dreams"). This work expounds all the fundamental concepts underlying psychoanalytic technique and doctrine.
In 1902 Freud was appointed a full professor at the University of Vienna. This honour was granted not in recognition of his contributions but as a result of the efforts of a highly influential patient ("Freud"). The medical world still regarded his work with hostility ("Freud"). As a result, Freud continued to work virtually alone in what he called "splendid isolation." In 1904, Sigmund Freud published the book, The Psychopathology of Everyday Life, which explored everyday errors in speech, which he believed, were of interpretable importance (Appignanesi). These "Freudian slip's" were contrasted dreams in the sense that they can arise from immediate hostile, jealous, or egotistic causes.
Freud stated that sexuality was of importance in human behaviour. He derived his attitudes toward women and his beliefs about the roles of individual sexes from personal experiences in the strict culture of the time. He made clear his views on a woman's role in society, but he was unable to explain the behaviour of women. He resorted instead to studying the development of females from their childhood through adulthood in an attempt to figure out their complicated psyche. Freud's research was conducted on strictly middle-class whites during the early twentieth century. We are a society that has always had clear delineation between childhood, adolescence, and adulthood. It is in the stage of childhood in which Freud believes that female development is distinguished from that of the males. The breakdown of development into various stages is unique to our specific culture. In most other cultures, there is only one transition that takes place in life and that is the one from childhood to adulthood.
This "graduation" of sorts occurs immediately after the child hits puberty. According to Freudian theory, the significant turning point in psychosexual development for gender identity occurs at about the age of three. For the first three years of life, pleasure is centered on oral gratification such as sucking a bottle or breast for milk. The person who provides this to the child is the main object of the baby's love and affection. The child develops a sense of trust as a result of this relationship. This is the called the oral stage because there is a fixation that the child has to always have something in its mouth. The next stage is the anal stage. This struggles around issues such as toilet training, and a sense of self-control and control of the environment characterize it. The three-year-olds shift of focus to the sexual organs as the source of pleasure is labelled the phallic stage of psychosexual development. It is at this stage that girls notice that men and boys have penises, and they don't. We, according to Freud, recognize that without this organ, we cannot "possess" the mother (our original love object) the way a man can, especially our fathers. This recognition leads girls to develop a sense of inferiority and the desire for a penis, which Freud called Penis Envy. At the same time, boys notice that girls and women do not have penises, and this leads the boy to believe that the girls were somehow denied them, or they had them taken away.
Freud concluded that this created a sense of anxiety in boys because they are afraid of losing their penises. Freud labelled this the Castration Complex. He also argued that girls blame their mothers for our "inferior anatomy," and therefore turn our affections to our fathers in an effort to attain the desired object. By contrast, boys desire to marry their mothers and replace their fathers. Freudian theory labels this the Oedipus complex (named after the Greek myth about Oedipus, who unknowingly killed his father and married his mother). When they learn that they cannot "possess" their mothers because their rivals are bigger and stronger, they fear that their fathers will punish them for feeling this way by castrating them. Boys get over the Oedipus complex rather quickly and they seek a new love interest and identify with the father. Girls identify with their mothers reluctantly, because this identification does not help us achieve what we are wishing for during the phallic stage. The critics of Freud's ideas about female development can be divided into two groups. The first group questions whether or not these psychological events actually take place. Because these are psychologically developed and not physically developed, there is no way to tell if they actually exist because they cannot be observed directly. Since there is no proof or test of the unconscious process, or even of the unconscious, some argue that these theories cannot be considered scientific.
The second group includes a number of Freud's students. They do not directly attack the psychoanalytic approach but they disagree with the basic Freudian formulation of female development. Dorothy Dinnerstein, a psychologist who has written about the development of gender roles, says: "I am disturbed, like the other radical critics of our gender arrangements, by the sexual bigotry that is built into the Freudian perspective. But I am disinclined to let the presence of that bigotry deflect my attention from the key to a way out of our gender predicament that Freud, in a sense absent-mindedly, provides". The conceptual tool that he has put into our hands is a revolutionary one. The aspect of Freudian theory that is most criticized by feminists is the emphasis on penis envy and the view that our lives must be determined by our anatomy. Many critics have pointed out that women have many anatomical features and capacities that men lack. Why should girls be the ones to envy and boys are the ones to fear loss? Boys might observe that only women have breasts; later, they learn that only women can bear children. Why not "breast envy" or "womb envy"? Freud failed to look at the situation from the female perspective, and it is blatantly obvious in his beliefs on female development. There are large numbers of females and males who consider themselves to be students of Freudian theory. It must be understood however that just because they believe in and support most of the major principles that Freud chose to elaborate on, does not mean that they are without their own various arguments against some of his beliefs.
Karen Horney (1885-1962) was a psychoanalyst and a student of Freud. She believed that Freud's theory of female psychosexual development reflected a deep male bias, and that it did not make sense to assume that a woman is mentally affected by a wish for attributes of the opposite sex. She also notes that what Freud described as characteristics of the "Masculinity Complex" (egocentric ambition, envy, and the desire for dictatorial power) are exhibited by neurotic men as well as neurotic women and therefore are not necessarily related to the envy of the penis. She points out that self-confidence of either sex is based on the development of a wide range of human characteristics: talent, initiative, erotic capacity, achievement, courage, and independence. It seems as though men feel the need to place the "inferiority" on the shoulders of women in an attempt to hide their own insecurities, and envies regarding female roles in reproduction and societal progression. While the psychologists of today base their theories and ideas on the various studies done by others, Freud based his ideas primarily on the recollections of women who had consulted him for help. When he actually began to write about human sexuality and legitimise it as an up and coming field of study, Freud stated that women were indeed beings with sexual needs. He also suggested that the repression of sexual expression was a major cause of neurosis in women. His theories evolved out of his own personal interpretation of these women's underlying emotions and unconscious motives. While he believed women should express our sexuality, he also believed that our fulfilment could only come about in the form of a vaginal orgasm (distinct from the clitoral orgasm, which Freud considered "masculine" and "childish") and the resulting bearing and nurturing of children. Although in many ways
Freud began a "liberation of female sexuality," his theories had certain stigmas attached which passed on yet another set of masculine standards against which women were to judge themselves.
One of Freud's greatest contributions to society was his expertise in the field of sexology. Because of his work, Freud introduced a way to people that allows them to understand how they were brought up and allows them to figure out the best way to bring up their own children. Also, Freud's discoveries in sexual problems and perversions allow people to have a greater understanding of what makes people do the things that they do. Sigmund Freud's work can have an effect on all people's lives if they know what his has done and if they take a moment to analyse their own lives. In the history of approaches to the treatment of mental illnesses we see a similar progression from punitive and physical procedures to more enlightened attempts at understanding and treating mental illness. Sigmund Freud laid the foundation for modern psychoanalysis so that students of psychology could study and expand on his ideas. His development of psychoanalysis and later modifications of his approach by his successors, together with the development of psychoactive agents (drugs) and other approaches to therapy, have revolutionised the treatment of mental illness.
Freud's ideas were groundbreaking and were not like anything that anyone had ever heard of. Although never accorded full recognition during his lifetime, Freud is generally acknowledged as one of the great creative minds of modern times. All of his ideas can be directly related back to people and applied to everyday life. Because of Freud, people can step back and look at exactly what their thoughts mean and what their mind is trying to tell them. In all the examples in which Freud psychoanalysed, he went through a particular system. He chose the best way to manipulate every psychological move. In any psychologist, they have their own way of dealing with the troubled. They have work so many years to find the best curriculum to go through. In result, psychologists use their own psychoanalysis. "I am actually not a man of science at all … I am nothing but a conquistador by temperament, an adventurer" (Freud).
Feminist Theory: From Margin to Center. C.1984 by bell hooks
Hunter College Women's Studies Collective; Women's Realities, Women's Choices NY: Oxford University Press, 1983 4)
Smithsonian World; Gender: The Enduring Paradox NYC: UNAPIX Entertainment Inc., 1996 5)
Williams, Juanita H.; Psychology of Women NY: W.W. Norton & Company, 1987 Works Cited American Psychoanalytic Association. (Online). Available http://www.APSAA.com Appignanesi, Richard.
Freud For Beginners. USA: Pantheon Books, 1990. Gay, Michael.
Freud's Theory On Sexuality. New York: Manitoba Publishing, 1993.
Freud Archives. (Online). http://Freud.to.or.at/Freud/themen/psan15- e-.htm Freud's Interpretation Of Dreams. (Online).
Past Biography. 1995 ed. Freud, Sigmund. A General Introduction Of Psychoanalysis. New York: Boni and Liveright,
Essay Examples. (March 2019). Sigmund Freud2 Essay Examples. Retrieved from https://benjaminbarber.org/sigmund-freud2-essay-examples/
"Sigmund Freud2 Essay Examples." benjaminbarber.org. 03 2019. 01 2022. <https://benjaminbarber.org/sigmund-freud2-essay-examples/>.
Essay Examples. March 2019. Sigmund Freud2 Essay Examples. [online]. Available from: https://benjaminbarber.org/sigmund-freud2-essay-examples/ [Accessed 22 January 2022].
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Natalia announces new music and tour after six years
Music Eve Live Style Tuesday 24th January 2023 06:57 PM
Fans had to be patient, but after six years Natalia (42) is releasing music again. Her new single 'When You Came By' will be released later this week and heralds an album and a theater tour. Natalia's last tour also dates from years ago.
Natalia announced her plans on Tuesday evening Today on a. She revealed that her single When You Came By this Friday will be released and will be followed by an album in April. That will Hallelujah to the Beat are called and is Natalia's eighth album. her previous, The Sound Of Meappeared in 2017.
In May and June she will perform her new songs live for the first time during a short theater tour. It passes through Leuven, Ghent, Bruges, Brussels, Hasselt and Antwerp. Natalia went on a theater tour for the last time in 2019, then in the company of pianist Jef Neve.
READ ALSO. Natalia announces new music and will soon be in Lotto Arena with an anniversary concert: "It will be a lot of searching with the children"
At the end of last year, the singer already announced that 2023 would be special. She has been in the business for exactly twenty years and will celebrate that anniversary in November with two shows in the Lotto Arena. Tickets for it are already on sale. Sales for the theater shows will start on Wednesday, February 1 at 10 a.m. via teleticketservice.com.(dvg)
The article is in Dutch
Tags: Natalia announces music tour years
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All the trailers from this week's Nintendo Direct that you might have missed
By Emma Boyle 14 September 2017
Between announcing some brand new Switch and 3DS games, launching a new 2DS XL, and promising renewed stock of the SNES Classic Mini it's safe to say Nintendo is doing its utmost to keep players happy in 2017.
In order to show in more detail exactly how happy it's going to make you, Nintendo hosted a 45 minute Direct video on September 13 where it announced a handful of release dates and showed off some exciting new trailers for upcoming Nintendo Switch and 3DS titles.
If you missed the Direct, fret not – we've gathered up all of the trailers and release dates right here for you to watch and enjoy.
It's not long until Super Mario Odyssey comes to Nintendo Switch on October 27 and many are expecting it to be the biggest release for the console since Zelda. It's unsurprising, then, that Nintendo is using every opportunity to show the game off. This trailer gives an exciting glimpse at the wide variety of open levels that'll be in the game. Look out for the controversial topless beach scene.
Pokemon Ultra Sun and Ultra Moon
We would have been satisfied with Nintendo's promise that Pokemon is coming to Switch but to make the wait feel less painful, Nintendo is releasing an update to its Sun and Moon 3DS titles.
Ultra Sun and Ultra Moon will take players back to the region of Alola but they'll have new legendary Pokemon, new ordinary Pokemon, new areas to explore and a new story to enjoy. Both games will be available to buy from November 17.
See a little more from these new games below and get a look at the new PokeBall themed 2DS XL console. It's about as close to a PokeBall as something not actually round is going to get.
Minecraft: New 3DS Edition
Minecraft is basically everywhere at this point and now there's finally a New 3DS Edition that'll only be playable on the New 3DS, 3DS XL and new 2DS XL. Watch the trailer below. You don't even have to wait to play it, either. The game is available online to buy now with packaged versions coming soon.
Doom and Wolfenstein II
It's not all colorful lighthearted fun on Nintendo's new console – two of Bethesda's best and goriest games are coming in 2018 and they'll be taking no prisoners.
This is a good show of faith in the console from Bethesda as the publisher is already bringing one of its older games, Skyrim, to Switch on the now confirmed date of November 17 2017.
Not only does it look like Nintendo is winning back third-party publishers, it's also diversifying its lineup more than we've seen in a long time and that means a wider appeal for the Switch.
Ever since it was revealed to be coming to the Nintendo Switch, Xenoblade fans have been anxiously awaiting a release date. Now we have one – December 1. Just in time to add to your Christmas list.
This new trailer gives a good long look at the game's location and gameplay. There's also going to be a special edition version of the game released alongside a special Pro controller.
Project Octopath Traveler
Xenoblade Chronicles 2 won't be the Switch's only hardcore RPG – Square Enix and the minds behind Bravely Default are releasing a brand new game called Project Octopath Traveler. This is a working title but in the trailer below you'll get a good look at the game's characters and some of its gameplay.
The game is coming exclusively to Switch in 2018 but there's a free demo on the eShop right now.
Fire Emblem Warriors
This game is coming to Switch and 3DS on October 20 so of course we got a good gameplay trailer. Enjoy!
Kirby got two trailers in this direct. First up is the Kirby: Battle Royale reveal trailer. That's right, Kirby is coming to Nintendo 3DS and 2DS XL on January 19 2018 to take on all the different versions of himself. Get a quick look at it below!
Don't forget Kirby is also coming to the Switch in Star Allies! After this game was initially revealed at E3, we now know it'll be released in Spring 2018 and will see Kirby teaming up with others in either single-player or online co-op to get through some challenging levels.
Mario Party: The Top 100
Mario Party is making a comeback in an unexpected way with this 3DS title. Launching on November 10, Mario Party: The Top 100 will bring the top 100 mini games from across the Mario Party franchise into one place allowing you to play with up to 4 friends online on just one game card.
Arcade Archives
It's not just the 3DS getting some classics – the Switch is also getting in on the action with the newly announced Arcade Archives. Make no mistake, this isn't a Virtual Console announcement, but it will make it possible to download Switch ports of some classic Nintendo Arcade games from the 1980s which apparently contain "subtle differences" from their at-home NES counterparts.
The first game will be Mario Bros on September 27, after which more will follow.
Snipperclips Plus: Cut it out, Together
Snipperclips is a game that's already available for the Nintendo Switch and it's a title that makes the most of the console's creative Joy-Con controllers. During this Direct, Nintendo announced it's getting an update on November 10 that'll add new features that'll include new worlds and modes.
If you already own the game the update will be released to you for free, but if you don't then there'll also be a retail version that's also seeing a release.
The Switch is getting its first MOBA: Arena of Valor. The game has been previously released on mobile but it'll be coming to Switch in free Beta form at the end of this year. Take a short look at it for yourself:
That's what's coming but these are the best Nintendo Switch games you can get right now


When you're hungry come six o'clock, wondering what to make for dinner, an Instant Pot will be your weeknight hero. We're talking food made fast, folks. It's an advanced electric pressure cooker that not only makes high quality food in a flash, it also combines multiple kitchen appliances in one, including a slow cooker, rice cooker, steamer, warmer, and, get this, a yogurt maker. So really, you can make any kind of meal you want in one pot. Pair it with any of these easy-to-make recipes and suddenly dinnertime won't feel so daunting.
With a variety of sizes, features, and price ranges offered, this convenient cooker is a game changer. (Our personal fave? The Duo 8 Qt 7-in-1 Instant Pot. Genius!) Who doesn't want to prepare nutritious, delicious food while spending less time in the kitchen? Better yet, since meals are made in one pot, clean up will be considerably quick, too. We're kinda obsessed. No wonder it's the number one selling brand on Amazon.
Tell Tuesday night you've got her covered. Half Baked Harvest tops these tacos with the freshest pomegranate pineapple salsa. Total prep and cook time: 30 minutes.
Everyone needs a good chicken noodle soup recipe in his or her repertoire. Colds and cold weather don't stand a chance. Total prep and cook time: 30 minutes.
Jackie Dodd, the queen of cooking with beer, marries duck with brown ale in this delicious chili recipe. A gourmet twist on everyone's favorite game day meal. Total prep and cook time: 45 minutes.
Diets, be damned — this potato dish is happening. Most likely tonight. Total prep and cook time: 30 minutes.
How gorgeous is this ramen? Lucky for you (and me), it tastes as good as it looks. Total prep and cook time: 45 minutes.
Wait, even salmon can be made in an Instant Pot? Genius. Total prep and cook time: 15 minutes.
Because comfort food can be healthy, too. You'll love this vegetarian, gluten-free soup, packed with nine grams of protein per cup. Total prep and cook time: 22 minutes.
Abbey's recipes are always delicious, and this one-pot wonder is right up there with the best. If you have picky eaters, you can hold the veggies. But we personally would never say no to brussels sprouts. Total prep and cook time: 30 minutes.
Check out Pinch of Yum's pro tip for caramelizing the stew and thickening the gravy. Total prep and cook time: 50 minutes.
Kids, this one's for you. Total prep and cook time: 15 minutes.


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Evansville is the commercial, medical, and cultural hub of Southwestern Indiana and the Illinois Indiana Kentucky tri state area. It is the third largest city in the state of Indiana and the largest city in Southern Indiana. As of the 2010 census, the city had a total population of 117,429 and a metropolitan population of 358,676. It is the county seat of Vanderburgh County. Situated on an oxbow in the Ohio River, the city is often referred to as the "River City". As testament to the Ohio's grandeur, early French explorers named it La Belle Riviere ("The Beautiful River"). The area has been inhabited by various cultures for millennia, dating back at least 10,000 years.
Angel Mounds was a permanent settlement of the Mississippian culture from 1000 AD to around 1400 AD. The city itself was founded in 1812.The broad economic base of the region has helped to build an economy which is known for its stability, diversity, and vitality. Four NYSE companies (ACW, BERY, LEAF, VVC) are headquartered in Evansville, along with the global operations center for NYSE company Johnson. Three other companies traded on the NASDAQ (ESCA, ONB, SCVL) are located in Evansville. The city is home to public and private enterprise in many areas, as Evansville serves as the economic hub of the region.The city has several well known educational institutions.
The University of Evansville is a small private school located on the city's east side, while the University of Southern Indiana (formerly Indiana State University Evansville) is a larger public institution located just outside of the city's westside limits. Other local educational institutions have also garnered praise and attention, including nationally ranked Signature School and the Evansville Vanderburgh Public Library. In 2008, Evansville was voted the best city in the country in which "to live, work, and play" by the readers of Kiplinger, and in 2009 the 11th best. Evansville is the regional center for a large trade area in Indiana, Kentucky, and Illinois. The broad economic base of the region has helped to build an economy which is known for its stability, diversity, and vitality. The largest industry sectors by size in Evansville are health care, finance, education, and manufacturing. Other major industries by employment are energy, warehousing and distribution, and retail.


In a cross sectional study across Europe, researchers have reported// that there seems to be no link between the education of the parents and their socio-economic status with the condition o insulin resistance in children. The research that was carried across the countries of Denmark, Estonia, and Portugal, is published in the recent issue of British Medical Journal (BMJ).
Across Europe, children from poor families don't necessarily have worse health than children with more affluent and better-educated parents, say researchers in this week's BMJ.
These findings challenge the widely held view that adverse social circumstances in childhood lead to an increased risk of coronary heart disease in later life.
The study involved 3,189 randomly selected schoolchildren from Denmark (one of the richest countries in Europe), and two poorer countries, Estonia and Portugal. Insulin resistance (a pre-cursor of heart disease) was measured for each child.
Among Danish children, those with the most educated and highest earning parents were the least insulin resistant. But the opposite was true for children from Estonia and Portugal - those from the most educated and highest earning parents were the most insulin resistant.
The higher levels of insulin resistance among children of better-educated parents in Estonia and Portugal may be the result of adoption of Western lifestyles, suggest the authors.
These results are an important reminder that socioeconomic inequalities are dynamic and vary over time and between countries, they conclude.
In an accompanying commentary, researchers question whether consumption of Western style "junk" food is creating the pattern of high insulin resistance among children of highly educated parents. Instead they suggest that anomalies like these help point towards gaps in our understanding and warn against too simplistic a view of health inequalities.
Insulin resistance: This condition is also called decreased insulin sensitivity of the body. Insulin sensitivity is the measure for the risk of heart disease. If a person is more insulin sensitive then he has a lower risk of heart problems.
Coronary heart Disease: This is the condition that happens when the oxygen carried to the blood vessels does not reach the heart properly due to choked blood vessels. The blood vessels may have a build up of plaque, and may cause chest pains called angina. The condition of coronary heart disease may lead to heart attacks.
7. Extension Education for Blood Pressure advice!


In her role as Vice President of Sales and Account Management, Marion leads Ellevation's revenue generating professional teams. The Sales and Account Management Team is focused on strategic new business outreach as well as creating and sustaining long-term district partnerships nationwide.
Before Ellevation, Marion was part of a team at Google that focused on increasing student access to educational opportunities through technology. She has also worked in higher education and began her career as a Special Education teacher in Chelsea, MA, through Teach For America. She has a BA from Duke University and an M.Ed in Curriculum and Instruction from Boston University.


You should first know how you spend your money if you want to take complete control of your money. Tracking should also involve all the money that you pay for expenses even in less expensive ones. The difference on how we think we spend money and how we actually spend it will know when you track it. It is not difficult to track your cash today especially if you have a smartphone. There are smart apps that help people track their money, and that's why the mobile phones with such apps are called smartphones.
People enjoy other benefits apart from communication when they use smartphones. When you install money tracking apps on your phone, you will be able to know where you have been wasting your money. This will help you save your money because there will be no unnecessary spending any more. Mobile tracking apps are many, and for this reason, the one that you think will help you is the one that you should pick. You will not have to carry your laptop when you have these apps on your phone which is an advantage.
Mobile chequebook is one of the money tracking apps found in phones. This app is the best because it lets you follow closely your banks and credit card accounts. If you have mobile chequebook app, a ledger will not have to be written. It will do the figuring work for you when you input your bank details in the app. Find the best expense tracker or read more about money management.
MiBudget is another money tracking app that people use. What is done when using this app is only setting a budget and then stick to it using the app. This app can also be used for personal and even business purposes because it is fully customizable. You will be able to track your stocks when you use a mobile tracking app called stocks plus You will be able to also follow the stocks that you are interested in investing in when you have this app. This app is essential because it helps you save time that you could have used to search online how your stocks are doing.
Those who travels to different countries need to have a particular app called currency exchange rates. You will be able to calculate the currency of different countries when you use this app. My Timesheet is a mobile app that is usually used by workers. This app is the best because it shows your boss how honesT you are because it tracks of your hours. CreditCard manager is another money tracking application. This app is essential because it helps people track all transactions that are done with credit cards and also the payments made to them. You can read more on this here: https://www.huffpost.com/entry/tips-organizing-your-finances-fall_n_5bb3bec5e4b01470d04c51cb.