Estimating the Impact of the Recent Economic Crisis on Work Time in Turkey

This paper provides estimates of the impact of the recent economic crisis on paid and unpaid work time in Turkey. The data used in this study come from the first and only time-use survey available at the national level. Infrequency of collection of time-use data in Turkey does not allow us to make a direct comparison of pre-versus postcrisis time-use patterns. We introduce a tractable way for estimating these possible effects by measuring the impact of an increase in unemployment risk on time-use patterns of women and men living in couple households. The method developed here can be applied to other developing-country cases where there is a lack of longitudinal data availability. Our findings support the argument that economic crises reinforce the preexisting gender inequalities in work time

Speed-Up Society? Evidence from the UK 2000 and 2015 Time Use Diary Surveys

Using time diary evidence on change in the frequency and distribution of activities from UK time diary data over the 15 years from the turn of the 21st century, we assess whether the thesis of ‘the speed-up society’ is manifested in an increase in time intensity in people’s daily lives. Comparing indictors like time fragmentation, multitasking and ICT use, to respondents’ reports of how rushed they normally feel, we find no evidence that time pressure is increasing, or that ICT use is associated with greater feelings of time pressure. Rather, we find consistent cross-sectional differentials in our measures of time intensity by gender and occupational status, supporting the idea of relative stasis in the underlying social inequalities of time. These findings are consistent with previous research based on time use data, and we pose them as a challenge to theories of societal speed-up

Growth status and menarcheal age among adolescent school girls in Wannune, Benue State, Nigeria

<p>Abstract</p> <p>Background</p> <p>Menarcheal age is a sensitive indicator of environmental conditions during childhood. The aim of study is to determine the age at menarche and growth status in adolescents in a rural area of Tarka, Wannune, Nigeria.</p> <p>Methods</p> <p>Data on 722 female students (aged 12-18 years) were collected in February 2009. Height and weight were measured. Body mass index (BMI; kg m^-2) was used as an index of relative weight.</p> <p>Results</p> <p>Mean and median menarcheal age calculated by probit analysis were 13.02 (SD 3.0) (95% CI: 13.02-13.07), and age 13.00 (SD 2.8) (95% CI: 12.98-13.04), respectively. Girls who reach menarche are significantly heavier and taller with higher BMIs than those of their pre-menarcheal peers.</p> <p>Conclusion</p> <p>The age of menarche is probably still declining in Nigeria. Although BMI is an important factor in the onset of menstruation, some other unmeasured environmental variables may be implicated in this population.</p

A multimodal cell census and atlas of the mammalian primary motor cortex

ABSTRACT We report the generation of a multimodal cell census and atlas of the mammalian primary motor cortex (MOp or M1) as the initial product of the BRAIN Initiative Cell Census Network (BICCN). This was achieved by coordinated large-scale analyses of single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved single-cell transcriptomes, morphological and electrophysiological properties, and cellular resolution input-output mapping, integrated through cross-modal computational analysis. Together, our results advance the collective knowledge and understanding of brain cell type organization: First, our study reveals a unified molecular genetic landscape of cortical cell types that congruently integrates their transcriptome, open chromatin and DNA methylation maps. Second, cross-species analysis achieves a unified taxonomy of transcriptomic types and their hierarchical organization that are conserved from mouse to marmoset and human. Third, cross-modal analysis provides compelling evidence for the epigenomic, transcriptomic, and gene regulatory basis of neuronal phenotypes such as their physiological and anatomical properties, demonstrating the biological validity and genomic underpinning of neuron types and subtypes. Fourth, in situ single-cell transcriptomics provides a spatially-resolved cell type atlas of the motor cortex. Fifth, integrated transcriptomic, epigenomic and anatomical analyses reveal the correspondence between neural circuits and transcriptomic cell types. We further present an extensive genetic toolset for targeting and fate mapping glutamatergic projection neuron types toward linking their developmental trajectory to their circuit function. Together, our results establish a unified and mechanistic framework of neuronal cell type organization that integrates multi-layered molecular genetic and spatial information with multi-faceted phenotypic properties

Dissection of the Neural Effects of Deep Brain Stimulation

Deep brain stimulation (DBS) is a clinical and investigational treatment for a variety of neuropsychiatric conditions, such as Parkinson’s Disease (PD) and obsessive-compulsive disorder. Despite widespread clinical use, its therapeutic mechanism is unknown. Previous results indicate DBS may produce a complex array of effects, ranging from inhibition in the STN to antidromic stimulation of cortical afferents, but it has proven difficult to establish how these changes interact to alter behavior. Here, we developed a mouse model of subthalamic nucleus (STN) DBS for PD to investigate this question using the mechanistic and cell type-specific tools available in mice. First, in Chapter 1 we detail the various theories surrounding the mechanism of STN DBS and discuss the technical limitations that have prevented a definitive exploration from taking place. In Chapter 2, we create a mouse model of electrical STN DBS in parkinsonian mice and demonstrate that it recapitulates many of the salient features of STN DBS in human PD patients. Furthermore, we develop a metric to characterize the behavioral efficacy of various DBS parameters in mice and show that this metric holds when applying it to human data. In Chapter 3, we use fiber photometry in our STN DBS model to record calcium signals as a surrogate marker of neural activity without DBS-associated electrical artifacts. In concordance with previous electrophysiological studies, we find that in parkinsonian mice, therapeutic levodopa treatment causes large decreases in neural activity at the level of basal ganglia output. In contrast, therapeutic electrical STN DBS increases activity in both the STN and SNr. Furthermore, we find that both optogenetic inhibition of the SNr, imitating the effects of levodopa, and optogenetic excitation of the STN, imitating the effects of STN DBS, are therapeutic in mice. Finally, in Chapter 4, we discuss the implications of these findings and the role of future studies in further elucidating the mechanism of STN DBS