894 research outputs found
Applying a Dynamical Systems Model and Network Theory to Major Depressive Disorder
Mental disorders like major depressive disorder can be seen as complex
dynamical systems. In this study we investigate the dynamic behaviour of
individuals to see whether or not we can expect a transition to another mood
state. We introduce a mean field model to a binomial process, where we reduce a
dynamic multidimensional system (stochastic cellular automaton) to a
one-dimensional system to analyse the dynamics. Using maximum likelihood
estimation, we can estimate the parameter of interest which, in combination
with a bifurcation diagram, reflects the expectancy that someone has to
transition to another mood state. After validating the proposed method with
simulated data, we apply this method to two empirical examples, where we show
its use in a clinical sample consisting of patients diagnosed with major
depressive disorder, and a general population sample. Results showed that the
majority of the clinical sample was categorized as having an expectancy for a
transition, while the majority of the general population sample did not have
this expectancy. We conclude that the mean field model has great potential in
assessing the expectancy for a transition between mood states. With some
extensions it could, in the future, aid clinical therapists in the treatment of
depressed patients.Comment: arXiv admin note: text overlap with arXiv:1610.0504
Reproductive Management of the Dairy Goat Doe
With the slow but steady increase in interest in dairy goats, our profession finds itself facing the problems of this unique species with increasing frequency. This creates a special challenge for us in two respects. First, our medical knowledge about the goat is still sparse and is just now beginning to expand due to an increased interest within the veterinary profession
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Never Man Enough: Aggrieved Entitlement and Weaponized Insecurity in White American Men
This paper examines the recent evolution of aggrieved entitlement and social fragility in young white American males and the subsequent violent backlash that certain individuals in this group have unleashed upon women, the LGBTQ community, Jewish people, Black people, and other socially vulnerable populations. Throughout the past decade, America at large has seen a sharp rise in ideological violence and civil division that runs concurrent to the proliferation of social media and technology throughout all layers of our society. Despite heavy resistance, many minority groups have enjoyed enhanced civil protections, representation, and acceptance as a result of progressive policy and contemporary social acceptance. However, under the looming specter of late-stage capitalism and widespread changes to economic and labor systems, a social divide has formed in the heart of white America- a divide best represented by Michael Kimmel’s concept of “Aggrieved Entitlement.” In essence, aggrieved entitlement is the anomie that individuals (in this research, Euro-American white males most often under age 30) experience when they face a lack of cohesion between their perceived status or “rightful place” in society and their ability to achieve said status. For many white, Euro-American men, this becomes a vector of fragility in which they feel threatened or insecure about their position within the perceived social hierarchy, especially when the privilege of hegemony is called into question. This paper will trace the hegemonic socialization processes that functions as a pipeline through which young, insecure white males are recruited by regressive communities centered in web organizations like 4chan, incels.co, countless cults of internet media personalities, and subcultures like Men’s Rights Movements, Involuntary Celibate (Incel) communities, and far-right extremist groups like the Groypers and the Boogaloo Boys. By examining all of these areas, I hope to provide policy suggestions on how to re-socialize and engage with contemporary socially maladapted and poorly socialized fragile young white Euro-American males who are vulnerable to indoctrination by these groups, so that they may better understand that they are not an “endangered species” who will lose their privilege and cease to exist, and the identification of root-causes and underlying sociopolitical issues that contribute to toxic, circular “logic” employed by these volatile mindsets.Keywords: Masculinity, Manosphere, Insecurity, Violence, Socializatio
ESMvis:a tool for visualizing individual Experience Sampling Method (ESM) data
PURPOSE: The experience sampling method (ESM) is used for intensive longitudinal time-series data collection during normal daily life. ESM data give information on momentary affect, activities and (social) context of, for example, patients suffering from mental disorders, and allows for person-specific feedback reports. However, current personalized feedback reports only display a selection of measured variables, and typically involve only summary statistics, thus not reflecting the dynamic fluctuations in affect and its influencing factors. To address this shortcoming, we developed a tool for dynamically visualizing ESM data. METHODS: We introduce a new framework, ESMvis, for giving descriptive feedback, focusing on direct visualization of the dynamic nature of raw data. In this ESM feedback approach, raw ESM data are visualized using R software. We applied ESMvis to data collected for over 52 weeks on a patient diagnosed with an obsessive-compulsive disorder with comorbid depression. RESULTS: We provided personalized feedback, in which both the overall trajectory and specific time moments were captured in a movie format. Two relapses during the study period could be visually determined, and subsequently confirmed by the therapist. The therapist and patient evaluated ESMvis as an insightful add-on tool to care-as-usual. CONCLUSION: ESMvis is a showcase on providing personalized feedback by dynamic visualization of ESM time-series data. Our tool is freely available and adjustable, making it widely applicable. In addition to potential applications in clinical practice, ESMvis can work as an exploratory tool that can lead to new hypotheses and inform more complex statistical techniques
Contribution of mixing to upward transport across the tropical tropopause layer (TTL)
During the second part of the TROCCINOX campaign that took place in Brazil in early 2005, chemical species were measured on-board the high-altitude research aircraft Geophysica (ozone, water vapor, NO, NOy, CH4 and CO) in the altitude range up to 20 km (or up to 450 K potential temperature), i.e. spanning the entire TTL region roughly extending between 350 and 420 K. Here, analysis of transport across the TTL is performed using a new version of the Chemical Lagrangian Model of the Stratosphere (CLaMS). In this new version, the stratospheric model has been extended to the earth surface. Above the tropopause, the isentropic and cross-isentropic advection in CLaMS is driven by meteorological analysis winds and heating/cooling rates derived from a radiation calculation. Below the tropopause, the model smoothly transforms from the isentropic to the hybrid-pressure coordinate and, in this way, takes into account the effect of large-scale convective transport as implemented in the vertical wind of the meteorological analysis. As in previous CLaMS simulations, the irreversible transport, i.e. mixing, is controlled by the local horizontal strain and vertical shear rates. Stratospheric and tropospheric signatures in the TTL can be seen both in the observations and in the model. The composition of air above ≈350 K is mainly controlled by mixing on a time scale of weeks or even months. Based on CLaMS transport studies where mixing can be completely switched off, we deduce that vertical mixing, mainly driven by the vertical shear in the tropical flanks of the subtropical jets and, to some extent, in the the outflow regions of the large-scale convection, offers an explanation for the upward transport of trace species from the main convective outflow at around 350 K up to the tropical tropopause around 380 K
Contribution of mixing to the upward transport across the TTL
During the second part of the TROCCINOX campaign that took place in Brazil in early 2005, chemical species were measured on-board of the high altitude research aircraft Geophysica (ozone, water vapor, NO, NOy, CH4 and CO) in the altitude range up to 20 km (or up to 450 K potential temperature), i.e. spanning the TTL region roughly extending between 350 and 420 K.
Analysis of transport across TTL is performed using a new version of the Chemical Lagrangian Model of the Stratosphere (CLaMS). In this new version, the stratospheric model has been extended to the earth surface. Above the tropopause, the isentropic and cross-isentropic advection in CLaMS is driven by ECMWF winds and heating/cooling rates derived from a radiation calculation. Below the tropopause the model smoothly transforms from the isentropic to hybrid-pressure coordinate and, in this way, takes into account the effect of large-scale convective transport as implemented in the ECMWF vertical wind. As with other CLaMS simulations, the irreversible transport, i.e. mixing, is controlled by the local horizontal strain and vertical shear rates.
Stratospheric and tropospheric signatures in the TTL can be seen both in the observation and in the model. The composition of air above ≈350 K is mainly controlled by mixing on a time scale of weeks or even months. Based on CLaMS transport studies where mixing can be completely switched off, we deduce that vertical mixing, mainly driven by the vertical shear in the outflow regions of the large-scale convection and in the vicinity of the subtropical jets, is necessary to understand the upward transport of the tropospheric air from the main convective outflow around 350 K up to the tropical tropopause around 380 K. This mechanism is most effective if the outflow of the mesoscale convective systems interacts with the subtropical jets
Contribution of mixing to the upward transport across the TTL
During the second part of the TROCCINOX campaign that took place in Brazil in early 2005, chemical species were measured on-board of the high altitude research aircraft Geophysica (ozone, water vapor, NO, NOy, CH4 and CO) in the altitude range up to 20 km (or up to 450 K potential temperature), i.e. spanning the TTL region roughly extending between 350 and 420 K.
Analysis of transport across TTL is performed using a new version of the Chemical Lagrangian Model of the Stratosphere (CLaMS). In this new version, the stratospheric model has been extended to the earth surface. Above the tropopause, the isentropic and cross-isentropic advection in CLaMS is driven by ECMWF winds and heating/cooling rates derived from a radiation calculation. Below the tropopause the model smoothly transforms from the isentropic to hybrid-pressure coordinate and, in this way, takes into account the effect of large-scale convective transport as implemented in the ECMWF vertical wind. As with other CLaMS simulations, the irreversible transport, i.e. mixing, is controlled by the local horizontal strain and vertical shear rates.
Stratospheric and tropospheric signatures in the TTL can be seen both in the observation and in the model. The composition of air above ≈350 K is mainly controlled by mixing on a time scale of weeks or even months. Based on CLaMS transport studies where mixing can be completely switched off, we deduce that vertical mixing, mainly driven by the vertical shear in the outflow regions of the large-scale convection and in the vicinity of the subtropical jets, is necessary to understand the upward transport of the tropospheric air from the main convective outflow around 350 K up to the tropical tropopause around 380 K. This mechanism is most effective if the outflow of the mesoscale convective systems interacts with the subtropical jets
Temporal associations between salivary cortisol and emotions in clinically depressed individuals and matched controls:A dynamic time warp analysis
Depression can be understood as a complex dynamic system where depressive symptoms interact with one another. Cortisol is suggested to play a major role in the pathophysiology of depression, but knowledge on the temporal interplay between cortisol and depressive symptoms is scarce. We aimed to analyze the temporal connectivity between salivary cortisol and momentary affective states in depressed individuals and controls. Thirty pair-matched depressed and non-depressed participants completed questionnaires on momentary positive (PA) and negative (NA) affect and collected saliva three times a day for 30 days. The association between cortisol and affect was analyzed by dynamic time warp (DTW) analyses. These analyses involved lag-1 backward to lag-1 forward undirected analyses and lag-0 and lag-1 forward directed analyses. Large inter- and intra-individual variability in the networks were found. At the group level, with undirected analysis PA and NA were connected in the networks in depressed individuals and in controls. Directed analyses indicated that increases in cortisol preceded specific NA items in controls, but tended to follow upon specific affect items increase in depressed individuals. To conclude, at group level, changes in cortisol levels in individuals diagnosed with a depression may be a result of changes in affect, rather than a cause.</p
ACTman:Automated preprocessing and analysis of actigraphy data
Objectives: To introduce a novel software-library called Actigraphy Manager (ACTman) which automates labor-intensive actigraphy data preprocessing and analyses steps while improving transparency, reproducibility, and scalability over software suites traditionally used in actigraphy research practice. Design: Descriptive. Methods: Use cases are described for performing a common actigraphy task in ACTman and alternative actigraphy software. Important inefficiencies in actigraphy workflow are identified and their consequences are described. We explain how these hinder the feasibility of conducting studies with large groups of athletes and/or longer data collection periods. Thereafter, the information flow through the ACTman software is described and we explain how it alleviates aforementioned inefficiencies. Furthermore, transparency, reproducibility, and scalability issues of commonly used actigraphy software packages are discussed and compared with the ACTman package. Results: It is shown that from an end-user perspective ACTman offers a compact workflow as it automates many preprocessing and analysis steps that otherwise have to be performed manually. When considering transparency, reproducibility, and scalability the design of the ACTman software is found to outperform proprietary and open-source actigraphy software suites. As such, ACTman alleviates important bottlenecks within actigraphy research practice. Conclusions: ACTman facilitates the current transition towards larger datasets containing data of multiple athletes by automating labor-intensive preprocessing and analyses steps within actigraphy research. Furthermore, ACTman offers many features which enhance user-convenience and analysis customization, such as moving window functionality and period selection options. ACTman is open-source and thus fully verifiable, in contrast with many proprietary software packages which remain a black box for researchers
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