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Vasopressin is a hormone which has an increasingly important profile. Not only does it play a physiologically significant role in renal water regulation but it also has other renal actions and plays a role in overall cardiovascular control. Even more interesting is the recent growing interest in its potential effects on the brain, notably its influence on specific behaviours. This monograph about the polypeptide vasopressin covers all aspects relating to the production, control of release, and actions of this molecule within the body, including its roles as a hormone and as a central neurotr

Vasopressin. --- Vasopressin --- Physiological effect.

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Neuroendocrinology is the discipline that investigates the interplay between the nervous and endocrine systems i.e. the control of endocrine glands by the central and peripheral nervous systems, the action of hormones on nerve cells and the production of hormones by the nervous system. The present Research Topic is a compilation of contributions stemming from the 8th International Congress of Neuroendocrinology (ICN2014) held in Sydney, Australia, that illustrates various facets of current neuroendocrine research.

stress --- Reproduction --- Anorexia Nervosa --- Neuroendocrinology --- Social Behavior --- Oxytocin / vasopressin --- Neuroactive steroids --- circadian rhythms --- energy homeostasis --- Insulin

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The relationship between domestic dogs and humans represents a unique example of an interspecific relationship. For this and other reasons, there has been a substantial increase in research on dogs. This Special Issue entitled “Dog Behaviour, Physiology and Welfare” collects important information ranging from basic to applied ethology, dealing with canine endocrinology (prolactin, vasopressin, thyroid hormones), physiology (visual perception), welfare (in shelters and zoos), as well as the context of working dogs (service dogs, co-therapist dogs, herding dogs) and the dog–wolf comparison. All the papers are open access and can be read at https://www.mdpi.com/journal/animals/special_issues/Dog_Behavior

dog --- canine welfare --- canine cruelty --- neglect --- RSPCA --- age --- zoo --- wolf behaviour --- animal welfare --- visitor --- conservation --- education --- breed --- blood --- dogs --- prolactin --- saliva --- stress --- herding --- livestock --- working dog --- survey --- traits --- boldness --- behavioral test --- impulsivity --- sex differences --- learning --- validation --- children --- Autism Spectrum Disorders --- cognition --- reading-to-dog programme --- guide dog --- dietary protein/fat ratio --- training --- thyroid hormones --- lipid panel --- biological motion --- point-light display --- visual perception --- experience --- dog ownership --- dog walking --- physical activity --- accelerometry --- psychosocial well-being --- prospective trial --- animal-assisted intervention --- dog rescue --- foster dog --- shelter dog --- behaviour --- cortisol --- male --- shelter --- Spanish Greyhound --- animal cruelty --- socioeconomic --- problems --- assessment --- canines --- shelters --- predict --- social tolerance --- social attentiveness --- reconciliation --- consolation --- appeasement --- play fighting --- leverage --- behavioural plasticity --- Canis lupus lupus --- behavior --- alloparental care --- puppies --- breeders --- separation distress disorder --- vasopressin --- oxytocin --- anxiety --- n/a --- disaster --- preparedness --- puppy raiser --- service dogs --- working dogs

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Multiscale entropy (MSE) measures to evaluate the complexity of time series by taking into account the multiple time scales in physical systems were proposed in the early 2000s. Since then, these approaches have received a great deal of attention and have been used in a wide range of applications. Multivariate approaches have also been developed. The algorithms for an MSE approach are composed of two main steps: (i) a coarse-graining procedure to represent the system’s dynamics on different scales and (ii) the entropy computation for the original signal and for the coarse-grained time series to evaluate the irregularity for each scale. Moreover, different entropy measures have been associated with the coarse-graining approach, each one having its advantages and drawbacks. In this Special Issue, we gathered 24 papers focusing on either the theory or applications of MSE approaches. These papers can be divided into two groups: papers that propose new developments in entropy-based measures or improve the understanding of existing ones (9 papers) and papers that propose new applications of existing entropy-based measures (14 papers). Moreover, one paper presents a review of cross-entropy methods and their multiscale approaches.

electrocardiogram --- heart rate variability --- multiscale distribution entropy --- RR interval --- short-term inter-beat interval --- Alzheimer disease --- functional near infra-red spectroscopy --- signal complexity --- clock drawing test --- digit span test --- corsi block tapping test --- structural health monitoring --- multi-scale --- composite cross-sample entropy --- PD --- fault diagnosis --- variational mode decomposition --- multi-scale dispersion entropy --- HMSVM --- multiscale entropy --- embodied media --- tele-communication --- humanoid --- prefrontal cortex --- human behavior --- complexity --- page view --- sample entropy --- Wikipedia --- missing values --- physiological data --- medical information --- postural stability index --- stability states --- ensemble empirical mode decomposition --- gait --- Multiscale Permutation Entropy --- ordinal patterns --- estimator variance --- Cramér–Rao Lower Bound --- finite-length signals --- nonlinear dynamics --- multiscale indices --- cardiac risk stratification --- Holter --- long term monitoring --- multifractal spectrum --- multiscale time irreversibility --- predictability --- multiscale analysis --- entropy rate --- memory effect --- financial time series --- entropy --- cardiac autonomic neuropathy --- diabetes --- mental workload --- motif --- multi-scale entropy --- permutation entropy --- HRV --- SVM --- multivariate multiscale dispersion entropy --- multivariate time series --- electroencephalogram --- magnetoencephalogram --- CPD --- EEG --- sleep staging --- tensor decomposition --- preterm neonate --- bearing fault diagnosis --- weak fault --- multi-component signal --- local robust principal component analysis --- multi-scale permutation entropy --- brain complexity --- dynamic functional connectivity --- edge complexity --- fluid intelligence --- node complexity --- resting-state functional magnetic resonance imaging --- aging --- consolidation --- default mode network --- episodic memory --- fMRI --- network complexity --- resting state --- copula density --- dependency structures --- Voronoi decomposition --- ambient temperature --- telemetry --- systolic blood pressure --- pulse interval --- thermoregulation --- vasopressin --- center of pressure --- falls --- postural control --- cross-entropy --- multiscale cross-entropy --- asynchrony --- coupling --- cross-sample entropy --- cross-approximate entropy --- cross-distribution entropy --- cross-fuzzy entropy --- cross-conditional entropy --- eye movement events detection --- nonlinear analysis time series analysis --- approximate entropy --- fuzzy entropy --- multilevel entropy map --- time-scale decomposition --- heart sound --- ICEEMDAN --- RCMDE --- Fisher ratio --- biometric characterization --- multi-scale entropy (MSE) --- vector autoregressive fractionally integrated (VARFI) models --- heart rate variability (HRV) --- systolic arterial pressure (SAP) --- multivariate data