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Edited by
Allan Young, Institute of Psychiatry, King's College London,Marsal Sanches, Baylor College of Medicine, Texas,Jair C. Soares, McGovern Medical School, The University of Texas,Mario Juruena, King's College London
The concept of abnormal mood has been a matter of a millennia-long debate in philosophy and medicine, while the diagnosis and classification of mood disorders remains a complex and controversial issue even in modern psychiatry. A centrepiece of this debate is the conceptualisation of mood and, by extension, mood disorders as a multi-dimensional spectrum with transdiagnostic symptoms (i.e., a continuous diagnostic classification) or as discrete nosological entities (i.e., a categorical diagnostic classification). Theoretical models and arguments based on empirical evidence have been proposed for both the distinct categorisation of abnormal mood states and the affective continuum perspective, which may also encompass psychosis and psychotic disorders. Although the conceptualisation of mood as a spectrum ranging from unipolar depression to unipolar mania may be the most suitable, this approach requires further evidence before it can replace the categorical classifications firmly employed in clinical practice for more than a century.
Whether AI should be given legal personhood should not be framed in binary terms. Instead, this issue should be analysed in terms of a sliding-scale spectrum. On one axis, there is the quantity and quality of the bundle of rights and obligations that legal personhood entails. The other axis is the level of the relevant characteristics that courts may include in conferring legal personhood.
on bounded domains, known in the literature as the Whitham–Broer–Kaup system. The well-posedness of the problem, under suitable boundary conditions, is addressed, and it is shown to depend on the sign of the number
\[ \varkappa=\alpha-\beta^2. \]
In particular, existence and uniqueness occur if and only if $\varkappa >0$. In which case, an explicit representation for the solutions is given. Nonetheless, for the case $\varkappa \leq 0$ we have uniqueness in the class of strong solutions, and sufficient conditions to guarantee exponential instability are provided.
Given a Borel probability measure µ on $\mathbb{R}^n$ and a real matrix $R\in M_n(\mathbb{R})$. We call R a spectral eigenmatrix of the measure µ if there exists a countable set $\Lambda\subset \mathbb{R}^n$ such that the sets $E_\Lambda=\big\{{\rm e}^{2\pi i \langle\lambda,x\rangle}:\lambda\in \Lambda\big\}$ and $E_{R\Lambda}=\big\{{\rm e}^{2\pi i \langle R\lambda,x\rangle}:\lambda\in \Lambda\big\}$ are both orthonormal bases for the Hilbert space $L^2(\mu)$. In this paper, we study the structure of spectral eigenmatrix of the planar self-affine measure $\mu_{M,D}$ generated by an expanding integer matrix $M\in M_2(2\mathbb{Z})$ and the four-elements digit set $D = \{(0,0)^t,(1,0)^t,(0,1)^t,(-1,-1)^t\}$. Some sufficient and/or necessary conditions for R to be a spectral eigenmatrix of $\mu_{M,D}$ are given.
The Fourier series is introduced as a very useful way to represent any periodic signal using a sum of sinusoidal (“pure”) signals. A display of the amplitudes of each sinusoid as a function of the frequency of that sinusoid is a spectrum and allows analysis in the frequency domain. Each sinusoidal signal of such a complex signal is referred to as a partial, and all those except for the lowest-frequency term are referred to as overtones. For periodic signals, the frequencies of the sinusoids will be integer multiples of the lowest frequency; that is, they are harmonics. Pitch is a perceived quantity related to frequency, and it may have a complicated relationship to the actual frequencies present in terms of the series. For periodic signals, changes in the relative phase of the partials do not change the perception of sounds that are not too loud.
Under time series analysis, one proceeds from Fourier analysis to the design of windows, then spectral analysis (e.g. computing the spectrum, the cross-spectrum between two time series, wavelets, etc.) and the filtering of frequency signals. The principal component analysis method can be turned into a spectral method known as singular spectrum analysis. Auto-regressive processes and Box-Jenkins models are also covered.
In this paper, we study the Friedrichs extensions of Sturm–Liouville operators with complex coefficients according to the classification of B. M. Brown et al. [3]. We characterize the Friedrichs extensions both by boundary conditions at regular endpoint and asymptotic behaviours of elements in the maximal operator domains at singular endpoint. Some of spectral properties are also involved.
We solve the radial differential equation to find the quantized energies and the radial wave functions of the bound states of the hydrogen atom. We present the energy spectrum of hydrogen and the electron probability densities of the energy eigenstates and of superposition states.
Alzheimer’s disease (AD) has prolonged asymptomatic or mild symptomatic periods. Given that there is an increase in treatment options and that early intervention could modify the disease course, it is desirable to devise biological indices that may differentiate AD and nonAD at mild cognitive impairment (MCI) stage.
Methods:
Based on two well-acknowledged observations of background slowing (attenuation in alpha power and enhancement in theta and delta powers) and early involvement of posterior cingulate cortex (PCC, a neural hub of default-mode network), this study devised novel neural markers, namely, spectral ratios of alpha1 to delta and alpha1 to theta in the PCC.
Results:
We analysed 46 MCI patients, with 22 ADMCI and 24 nonADMCI who were matched in age, education, and global cognitive capability. Concordant with the prediction, the regional spectral ratios were lower in the ADMCI group, suggesting its clinical application potential.
Conclusion:
Previous research has verified that neural markers derived from clinical electroencephalography may be informative in differentiating AD from other neurological conditions. We believe that the spectral ratios in the neural hubs that show early pathological changes can enrich the instrumental assessment of brain dysfunctions at the MCI (or pre-clinical) stage.
In this paper, we consider non-self-adjoint Dirac operators on a finite interval with complex-valued potentials and quasi-periodic boundary conditions. Necessary and sufficient conditions for a set of complex numbers to be the spectrum of the indicated problem are established.
For any
$r\in [0,1]$
we give an example of a rigid operator whose spectrum is the annulus
$\{\lambda\in \mathbb{C} : r \le |\lambda| \le 1 \} $
. In particular, when
$r=0$
this operator is rigid and non-invertible, and when
$r\in {\kern1pt}] 0,1 [ $
this operator is invertible but its inverse is not rigid. This answers two questions of Costakis, Manoussos and Parissis [Recurrent linear operators. Complex Anal. Oper. Theory8 (2014), 1601–1643].
Let A be a semisimple, unital, and complex Banach algebra. It is well known and easy to prove that A is commutative if and only
$e^xe^y=e^{x+y}$
for all
$x,y\in A$
. Elaborating on the spectral theory of commutativity developed by Aupetit, Zemánek, and Zemánek and Pták, we derive, in this paper, commutativity results via a spectral comparison of
$e^xe^y$
and
$e^{x+y}$
.
This work studies functional difference equations of the second order with a potential belonging to a special class of meromorphic functions. The equations depend on a spectral parameter. Consideration of this type of equations is motivated by applications in diffraction theory and by construction of eigenfunctions for the Laplace operator in angular domains. In particular, such eigenfunctions describe eigenoscillations of acoustic waves in angular domains with ‘semitransparent’ boundary conditions. For negative values of the spectral parameter, we study essential and discrete spectrum of the equations and describe properties of the corresponding solutions. The study is based on the reduction of the functional difference equations to integral equations with a symmetric kernel. A sufficient condition is formulated for the potential that ensures existence of the discrete spectrum. The obtained results are applied for studying the behaviour of eigenfunctions for the Laplace operator in adjacent angular domains with the Robin-type boundary conditions on their common boundary. At infinity, the eigenfunctions vanish exponentially as was expected. However, the rate of such decay depends on the observation direction. In particular, in a vicinity of some directions, the regime of decay is switched from one to another and such asymptotic behaviour is described by a Fresnel-type integral.
Chapter 1 identifies the phenomenon of anti-ʿAlid sentiment in its varied expressions in early Muslim political and intellectual history. The chapter also provides a framework for researchers to locate and contextualize anti-ʿAlid doctrines that appear in later Sunnī and Ibāḍī historiography. It identifies six distinct positions on ʿAlī held by Muslims and arranges these doctrines on a spectrum from the ardently pro-ʿAlid to the radically anti-ʿAlid to enable readers to interpret literary depictions of ʿAlī and situate authors who engaged in theological discussions about ʿAlī across sectarian boundaries and multiple centuries.
The interplay of geometry, spectral theory and stochastics has a long and fruitful history, and is the driving force behind many developments in modern mathematics. Bringing together contributions from a 2017 conference at the University of Potsdam, this volume focuses on global effects of local properties. Exploring the similarities and differences between the discrete and the continuous settings is of great interest to both researchers and graduate students in geometric analysis. The range of survey articles presented in this volume give an expository overview of various topics, including curvature, the effects of geometry on the spectrum, geometric group theory, and spectral theory of Laplacian and Schrödinger operators. Also included are shorter articles focusing on specific techniques and problems, allowing the reader to get to the heart of several key topics.
This chapter reviews the history of broadcasting and then describes the structure and terminology of operations and valuations and ties these to macroeconomic relationships.
Chapter 4 introduces basic differential equations and boundary conditions for gravity waves propagating along a water surface. Assuming low wave amplitudes, equations are linearised. Then a quantitative discussion is given for harmonical (sinusoidal) waves propagating either on deep water, or otherwise on water of constant depth. Phase and group velocities are introduced, and then formulas are derived for the potential energy and the kinetic energy associated with a water wave. A closely related result is an important formula for the wave-power level, which equals the wave’s group velocity multiplied by the wave’s stored – kinetic + potential – energy per unit of sea surface. An additional subject is the wave’s momentum density. A section concerns real sea waves. Further, circular waves are mathematically described. Two sections of the chapter concern mathematical tools to be applied in Chapters 5–8 of the book. A final section considers water waves analysed in the time domain.