Mental Health & Drugs; A Map of the Mind

The practice of physical medicine underwent a sea change at the turn of the 20th century, but the management of mental disorders stayed much the same as it had been since Rome. New names have been coined for disorders, and synthetic drugs are advertised as a solution to every problem, but the causes are still largely unknown and, although spontaneous remission can occur, there are no cures. This review of psychiatric diagnosis and treatment from Rome to the 21st century offers a rationale to support the classic (and still current) classification of disorders. It offers a method of distinguishing the major kinds of disorders and suggests when the prescription of psychoactive drugs may—or may not—be appropriate

An Interdisciplinary Approach to the Epistemic Value of Moral Ambiguity

Morality is a critical aspect of life––it influences how we think, design political and legal systems, who we connect with, our norms, and the types of stories we tell. Yet, even with the well documented influence of morality on many aspects of life, exactly what makes moral themes so fascinating remains elusive. This dissertation aims to introduce Moral Worldbuilding as a theory for understanding our epistemic drives toward morally ambiguous and morally bad content. In Chapter I, we introduce the problem of moral badness, which is not well handled by extant moral literature. To combat this, we offer a new framework called Moral Worldbuilding. Moral worldbuilding, like other coherence-based theories, posits that moral cognition is largely in the service of epistemic goals, helping people define the contours of their moral worlds. This framework helps to explain what are otherwise seen as peculiar features of our morality like why people often feel good when doing bad and critically, why we are so drawn to moral ambiguity and moral badness. To this end, we explore why potentially immoral things (e.g., true crime) are nonetheless cognitively engaging, drawing in curiosity and explanation-seeking drives. In Chapter II, we leverage the diverse body of literature introduced in Chapter I to investigate what makes morality so special and test the foundations of Moral Worldbuilding. A pilot experiment, and Experiments 1a and 1b establish the plausibility of this framework by showing that people are more curious to learn moral about ambiguity and moral badness than moral goodness and moral averageness. We find that moral ambiguity and badness specifically prompt explanation-seeking motives. We also explore how individual differences in what the moral world looks like contribute to moral curiosity. In Chapter III and Chapter IV, we show that norms influence moral curiosity and that curiosity for moral ambiguity is unique. In Experiment 2, we show that moral ambiguity and moral averageness differ, and that moral curiosity predicts perceived but not actual learning. In Experiment 3, we demonstrate that moral ambiguity is a unique source of epistemic motivation. We compare moral ambiguity to aesthetic ambiguity and explore the individual differences that moderate interest in moral ambiguity. In Chapter V, we synthesize the findings presented in Chapters II-IV and discuss their implications for moral theory. We demonstrate that the Moral Worldbuilding framework and findings presented in this dissertation make novel predictions about information-seeking, and moral cognition more broadly. We also discuss limitations of this work. While we demonstrated that moral curiosity is most consistently directed toward ambiguous and bad moral content, several questions remain, including whether there exists a boundary condition for interest in badness. Together, this work provides a unique interdisciplinary approach to improve the study of morality

Individual Differences in Children’s Paths to Arithmetical Development

Cross-sectional and longitudinal data consistently indicate that mathematical difficulties are more prevalent in older than in younger children (e.g. Department of Education, 2011). Children’s trajectories can take a variety of shapes such as linear, flat, curvilinear, and uneven, and shape has been found to vary within children and across tasks (J Jordan, Mulhern, and Wylie, 2009). There has been an increase in the use of statistical methods which are specifically designed to study development, and this has greatly improved our understanding of children’s mathematical development. However, the effects of many cognitive and social variables (e.g. working memory and verbal ability) on mathematical development are unclear. It is likely that greater consistency between studies will be achieved by adopting a componential approach to study mathematics, rather than treating mathematics as a unitary concept.</p

Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring.

Generic simulation code for spiking neuronal networks spends the major part of the time in the phase where spikes have arrived at a compute node and need to be delivered to their target neurons. These spikes were emitted over the last interval between communication steps by source neurons distributed across many compute nodes and are inherently irregular and unsorted with respect to their targets. For finding those targets, the spikes need to be dispatched to a three-dimensional data structure with decisions on target thread and synapse type to be made on the way. With growing network size, a compute node receives spikes from an increasing number of different source neurons until in the limit each synapse on the compute node has a unique source. Here, we show analytically how this sparsity emerges over the practically relevant range of network sizes from a hundred thousand to a billion neurons. By profiling a production code we investigate opportunities for algorithmic changes to avoid indirections and branching. Every thread hosts an equal share of the neurons on a compute node. In the original algorithm, all threads search through all spikes to pick out the relevant ones. With increasing network size, the fraction of hits remains invariant but the absolute number of rejections grows. Our new alternative algorithm equally divides the spikes among the threads and immediately sorts them in parallel according to target thread and synapse type. After this, every thread completes delivery solely of the section of spikes for its own neurons. Independent of the number of threads, all spikes are looked at only two times. The new algorithm halves the number of instructions in spike delivery which leads to a reduction of simulation time of up to 40 %. Thus, spike delivery is a fully parallelizable process with a single synchronization point and thereby well suited for many-core systems. Our analysis indicates that further progress requires a reduction of the latency that the instructions experience in accessing memory. The study provides the foundation for the exploration of methods of latency hiding like software pipelining and software-induced prefetching

Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers

Simulation is a third pillar next to experiment and theory in the study of complex dynamic systems such as biological neural networks. Contemporary brain-scale networks correspond to directed graphs of a few million nodes, each with an in-degree and out-degree of several thousands of edges, where nodes and edges correspond to the fundamental biological units, neurons and synapses, respectively. When considering a random graph, each node's edges are distributed across thousands of parallel processes. The activity in neuronal networks is also sparse. Each neuron occasionally transmits a brief signal, called spike, via its outgoing synapses to the corresponding target neurons. This spatial and temporal sparsity represents an inherent bottleneck for simulations on conventional computers: Fundamentally irregular memory-access patterns cause poor cache utilization. Using an established neuronal network simulation code as a reference implementation, we investigate how common techniques to recover cache performance such as software-induced prefetching and software pipelining can benefit a real-world application. The algorithmic changes reduce simulation time by up to 50%. The study exemplifies that many-core systems assigned with an intrinsically parallel computational problem can overcome the von Neumann bottleneck of conventional computer architectures

Defusing the History Wars: Finding Common Ground in Teaching Americas National Story

Our recent survey found that people have more in common than they think when it comes to their opinions on U.S. history. However, they incorrectly think members of the opposing party have views much different than they do - this is called a perception gap and it creates imagined enemies of their fellow Americans

Reliability and Predictive Validity of Screener/Assessment Tools in Nebraska Juvenile Diversion

Juvenile diversion is offered in most counties throughout Nebraska to eligible youth; and although state guidelines require the use of a screening or assessment tool, the tools utilized are not standardized or uniform statewide. This report quantifies whether the various tools are being reliably administered and are effectively predicting diversion completion and future system involvement. The Juvenile Justice Institute gathered item-level risk/needs screener and assessment data from all juvenile diversion programs receiving Community-based Aid (CBA) funds. Overall, 3,916 youth were assessed for a juvenile diversion program between July 1st, 2015 and June 30th, 2017. The Youth Level of Service Inventory/Case Management Inventory (YLS) comprised the largest number of completed assessments (n = 2,193), followed by the Nebraska Youth Screen (NYS; n = 1,512), and the Arizona Risk-Needs Assessment (ARNA; n = 211). First, we tested the reliability of each tool, which is how well it is consistently performing at predicting risk (i.e., less error in measurement). Reliability analyses revealed the YLS/CMI had the strongest internal consistency of the three measures, which means the items are grouped well together to measure the construct (i.e., risk level). The items within the NYS, however, demonstrated the strongest item-total correlations, which means these items were most related to the overall construct (i.e., risk level). Both the NYS and ARNA had poor internal consistency. Second, we performed Receiver Operating Curve (ROC) analyses to determine the predictive validity of each tool, utilizing both unsuccessful discharge from diversion and future system involvement as outcomes. Results revealed all three tools had predictive validity for unsuccessful diversion completion with large effect sizes (i.e., measure of strength of the relationship). Furthermore, while all three tools demonstrated predictive validity for future system involvement with small to moderate effect sizes, when we tested predictive validity by both gender and race/ethnicity, only the YLS accurately predicted future system involvement for girls, none of the tools accurately predicted future system involvement for Black/African American youth, and only the ARNA accurately predicted future system involvement for Hispanic youth. While it is always recommended to screen and/or assess youth, the tools currently being utilized in Nebraska juvenile diversion programs are not reliably and validly measuring risk for all youth assessed. The most problematic items within each tool were those relating to prior convictions or prior contacts with the legal system. Because this is a diversion population, presumably with little to no prior juvenile justice system involvement, these items poorly capture risk in this population, which in turn contributes to lower reliability and predictive validity. While these findings do not provide definitive results for us to whole-heartedly recommend a tool for juvenile diversion programs at this time, our recommendation is to explore creating/utilizing a risk assessment tool that removes items that measure previous legal system involvement or norming current tools without those items. Future research and practice should continue to explore gender and racial/ethnic differences within youth assessment

Availability and Utilization of Malaria Prevention Strategies in Pregnancy in Eastern India

BACKGROUND. Malaria in pregnancy in India, as elsewhere, is responsible for maternal anemia and adverse pregnancy outcomes such as low birth weight and preterm birth. It is not known whether prevention and treatment strategies for malaria in pregnancy (case management, insecticide-treated bednets, intermittent preventive therapy) are widely utilized in India. METHODS. This cross-sectional study was conducted during 2006-2008 in two states of India, Jharkhand and Chhattisgarh, at 7 facilities representing a range of rural and urban populations and areas of more versus less stable malaria transmission. 280 antenatal visits (40/site) were observed by study personnel coupled with exit interviews of pregnant women to assess emphasis upon, availability and utilization of malaria prevention practices by health workers and pregnant women. The facilities were assessed for the availability of antimalarials, lab supplies and bednets. RESULTS. All participating facilities were equipped to perform malaria blood smears; none used rapid diagnostic tests. Chloroquine, endorsed for chemoprophylaxis during pregnancy by the government at the time of the study, was stocked regularly at all facilities although the quantity stocked varied. Availability of alternative antimalarials for use in pregnancy was less consistent. In Jharkhand, no health worker recommended bednet use during the antenatal visit yet over 90% of pregnant women had bednets in their household. In Chhattisgarh, bednets were available at all facilities but only 14.4% of health workers recommended their use. 40% of the pregnant women interviewed had bednets in their household. Only 1.4% of all households owned an insecticide-treated bednet; yet 40% of all women reported their households had been sprayed with insecticide. Antimalarial chemoprophylaxis with chloroquine was prescribed in only 2 (0.7%) and intermittent preventive therapy prescribed in only one (0.4%) of the 280 observed visits. CONCLUSIONS. A disconnect remains between routine antenatal practices in India and known strategies to prevent and treat malaria in pregnancy. Prevention strategies, in particular the use of insecticide-treated bednets, are underutilized. Gaps highlighted by this study combined with recent estimates of the prevalence of malaria during pregnancy in these areas should be used to revise governmental policy and target increased educational efforts among health care workers and pregnant women.United States Agency for International Development/India mission (cooperative agreement GHS-A-00-03-00020-00); National Institute of Allergy and Infectious Disease (R03 HD52167-01); Indian National Institute of Malaria Research; Indo-US Program for Contraception and Reproductive Health Researc

ICTV Virus Taxonomy Profile : Potyviridae 2022

The family Potyviridae includes plant viruses with single-stranded, positive-sense RNA genomes of 8-11 kb and flexuous filamentous particles 650-950 nm long and 11-20 nm wide. Genera in the family are distinguished by the host range, genomic features and phylogeny of the member viruses. Most genomes are monopartite, but those of members of the genus Bymovirus are bipartite. Some members cause serious disease epidemics in cultivated plants. This is a summary of the International Committee on Taxonomy of Viruses (ICTV) Report on the family Potyviridae, which is available at ictv.global/report/potyviridae.Peer reviewe