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The risk of human exposure to total chlorotriazines (TCT) in drinking water was evaluated using a physiologically based pharmacokinetic (PBPK) model. Daily TCT (atrazine, deethylatrazine, deisopropylatrazine, and diaminochlorotriazine) chemographs were constructed for 17 frequently monitored community water systems (CWSs) using linear interpolation and Krieg estimates between observed TCT values. Synthetic chemographs were created using a conservative bias factor of 3 to generate intervening peaks between measured values. Drinking water consumption records from 24-h diaries were used to calculate daily exposure. Plasma TCT concentrations were updated every 30 minutes using the PBPK model output for each simulated calendar year from 2006 to 2010. Margins of exposure (MOEs) were calculated (MOE = [Human Plasma TCTPOD] ÷ [Human Plasma TCTEXP]) based on the toxicological point of departure (POD) and the drinking water-derived exposure to TCT. MOEs were determined based on 1, 2, 3, 4, 7, 14, 28, or 90 days of rolling average exposures and plasma TCT Cmax, or the area under the curve (AUC). Distributions of MOE were determined and the 99.9th percentile was used for risk assessment. MOEs for all 17 CWSs were >1000 at the 99.9th percentile. The 99.9th percentile of the MOE distribution was 2.8-fold less when the 3-fold synthetic chemograph bias factor was used. MOEs were insensitive to interpolation method, the consumer's age, the water consumption database used and the duration of time over which the rolling average plasma TCT was calculated, for up to 90 days. MOEs were sensitive to factors that modified the toxicological, or hyphenated appropriately no-observed-effects level (NOEL), including rat strain, endpoint used, method of calculating the NOEL, and the pharmacokinetics of elimination, as well as the magnitude of exposure (CWS, calendar year, and use of bias factors).

This is the final version. Available on open access from Nature Research via the DOI in this record ; Data availability: All human data is available at https://github.com/deepmind/hcmd_dai ; Code availability: Code for reproducing figures is available at https://github.com/deepmind/hcmd_dai ; Building artificial intelligence (AI) that aligns with human values is an unsolved problem. Here, we developed a human-in-the-loop research pipeline called Democratic AI, in which reinforcement learning is used to design a social mechanism that humans prefer by majority. A large group of humans played an online investment game that involved deciding whether to keep a monetary endowment or to share it with others for collective benefit. Shared revenue was returned to players under two different redistribution mechanisms, one designed by the AI and the other by humans. The AI discovered a mechanism that redressed initial wealth imbalance, sanctioned free riders, and successfully won the majority vote. By optimizing for human preferences, Democratic AI offers a proof of concept for value-aligned policy innovation

African Americans (AAs) are disproportion­ately affected by cerebrovascular pathology and more likely to suffer from premature cognitive decline. Depression is a risk fac­tor for poorer cognitive functioning, and research is needed to identify factors that serve to mitigate its negative effects. Studies have demonstrated positive influences of spirituality within the AA community. De­termining whether spirituality attenuates the effects of depressive symptoms on cogni­tive functioning and the pathophysiological mechanisms that explain these relationships in AAs is paramount. This study examines the influence of daily spiritual experiences on the relationship between depressive symptoms and cognitive functioning, and how inflammatory markers may partially explain these associations. A sample of 212 (mean age= 45.6) participants completed the Daily Spiritual Experience Scale (DSES), Beck Depression Inventory-II (BDI-II), Trail Making Test A and B (TMT) and Stroop Col­or and Word Test (Stroop). Blood samples were collected to measure inflammatory mediators (IL-6, IL-1a, TNF-a). Linear regres­sion analyses were used to evaluate associa­tions. Higher BDI-II scores were associated with poorer psychomotor speed and visual scanning, measured by TMT A (B=1.49, P=.01). IL-6 explained a significant amount of variance in this relationship (B=.24, CI 95% [.00, .64]). IL-6 also significantly mediated the relationship between depres­sive symptoms and psychomotor speed and mental flexibility, measured by TMT B performance (B=.03, CI 95% [.003, .095]). Frequent spiritual experiences among AAs may ameliorate the negative influence of depressive symptoms on cognitive func­tioning.Ethn Dis. 2019;29(2):267-276; doi:10.18865/ed.29.2.267

In this edited collection, institutional ethnographers draw on their field research experiences to address different aspects of institutional ethnographic practice. As institutional ethnography embraces the actualities of people's experiences and lives, the contributors utilize their research to reveal how institutional relations and regimes are organized. As a whole, the book aims to provide readers with an accurate overview of what it is like to practice institutional ethnography, as well as the main varieties of approaches involved in the research

The Hubbard Brook Experimental Forest (HBEF) was established in 1955 by the U.S. Department of Agriculture, Forest Service out of concerns about the effects of logging increasing flooding and erosion. To address this issue, within the HBEF hydrological and micrometeorological monitoring was initiated in small watersheds designated for harvesting experiments. The Hubbard Brook Ecosystem Study (HBES) originated in 1963, with the idea of using the small watershed approach to study element fluxes and cycling and the response of forest ecosystems to disturbances, such as forest management practices and air pollution. Early evidence of acid rain was documented at the HBEF and research by scientists at the site helped shape acid rain mitigation policies. New lines of investigation at the HBEF have built on the long legacy of watershed research resulting in a shift from comparing inputs and outputs and quantifying pools and fluxes to a more mechanistic understanding of ecosystem processes within watersheds. For example, hydropedological studies have shed light on linkages between hydrologic flow paths and soil development that provide valuable perspective for managing forests and understanding stream water quality. New high frequency in situ stream chemistry sensors are providing insights about extreme events and diurnal patterns that were indiscernible with traditional weekly sampling. Additionally, tools are being developed for visual and auditory data exploration and discovery by a broad audience. Given the unprecedented environmental change that is occurring, data from the small watersheds at the HBEF are more relevant now than ever and will continue to serve as a basis for sound environmental decision-making. ; Public domain authored by a U.S. government employee

OBJECTIVES: To estimate the association between the duration and level of exposure to different classes of anticholinergic drugs and subsequent incident dementia. DESIGN: Case-control study. SETTING: General practices in the UK contributing to the Clinical Practice Research Datalink. PARTICIPANTS: 40 770 patients aged 65-99 with a diagnosis of dementia between April 2006 and July 2015, and 283 933 controls without dementia. INTERVENTIONS: Daily defined doses of anticholinergic drugs coded using the Anticholinergic Cognitive Burden (ACB) scale, in total and grouped by subclass, prescribed 4-20 years before a diagnosis of dementia. MAIN OUTCOME MEASURES: Odds ratios for incident dementia, adjusted for a range of demographic and health related covariates. RESULTS: 14 453 (35%) cases and 86 403 (30%) controls were prescribed at least one anticholinergic drug with an ACB score of 3 (definite anticholinergic activity) during the exposure period. The adjusted odds ratio for any anticholinergic drug with an ACB score of 3 was 1.11 (95% confidence interval 1.08 to 1.14). Dementia was associated with an increasing average ACB score. When considered by drug class, gastrointestinal drugs with an ACB score of 3 were not distinctively linked to dementia. The risk of dementia increased with greater exposure for antidepressant, urological, and antiparkinson drugs with an ACB score of 3. This result was also observed for exposure 15-20 years before a diagnosis. CONCLUSIONS: A robust association between some classes of anticholinergic drugs and future dementia incidence was observed. This could be caused by a class specific effect, or by drugs being used for very early symptoms of dementia. Future research should examine anticholinergic drug classes as opposed to anticholinergic effects intrinsically or summing scales for anticholinergic exposure. TRIAL REGISTRATION: Registered to the European Union electronic Register of Post-Authorisation Studies EUPAS8705.

Frontmatter -- Contents -- Illustrations -- Preface -- Introduction. Nation-States in History -- PART 1. NATIONAL IDENTITIES -- Chapter 1. Nationalism, Popular Sovereignty, and the Liberal Democratic State -- Chapter 2. What States Can Do with Nations: An Iron Law of Nationalism and Federation? -- Chapter 3. A State without a Nation? Russia after Empire -- Chapter 4. The Return of the Coercive State: Behavioral Control in Multicultural Society -- PART 2. STATE SECURITY -- Chapter 5. States, Security Function, and the New Global Forces -- Chapter 6. States and War in Africa -- PART 3. STATE AUTONOMY -- Chapter 7. National Legislatures in Common Markets: Autonomy in the European Union and Mercosur -- Chapter 8. The Tax State in the Information Age -- Chapter 9. States, Politics, and Globalization: Why Institutions Still Matter -- Chapter 10. Globalization, the State, and Industrial Relations: Common Challenges, Divergent Transitions -- PART 4. STATE CAPACITY -- Chapter 11. The State after State Socialism: Poland in Comparative Perspective -- Chapter 12. Rotten from Within: Decentralized Predation and Incapacitated State -- Conclusion. What States Can Do Now -- Contributors -- Index

20 pags., 7 figs., 6 tabs. ; We report, over an extended energy range, recommended angle-integrated cross sections for elastic scattering, discrete inelastic scattering processes, and the total ionization cross section for electron scattering from atomic indium. In addition, from those angle-integrated cross sections, a grand total cross section is subsequently derived. To construct those recommended cross-section databases, results from original B-spline R-matrix, relativistic convergent close-coupling, and relativistic optical-potential computations are also presented here. Electron transport coefficients are subsequently calculated, using our recommended database, for reduced electric fields ranging from 0.01 Td to 10 000 Td using a multiterm solution of Boltzmann's equation. To facilitate those simulations, a recommended elastic momentum transfer cross-section set is also constructed and presented here. ; The work of K.R.H., O.Z., and K.B. was supported by the United States National Science Foundation under Grant Nos. OAC-1834740 and PHY-1803844 and by the XSEDE supercomputer Allocation No. PHY-090031. The (D)BSR calculations were carried out on Stampede2 at the Texas Advanced Computing Center. The work of D.V.F. and I.B. was supported by the Australian Research Council and resources provided by the Pawsey Supercomputing Centre with funding from the Australian Government and the Government of Western Australia. F.B. and G.G. acknowledge partial financial support from the Spanish Ministry MICIU (Project Nos. FIS2016- 80440 and PID2019-104727-RB-C21) and CSIC (Project No. LINKA20085). This work was also financially supported, in part, by the Australian Research Council (Project No. DP180101655), the Ministry of Education, Science and Technological Development of the Republic of Serbia, and the Institute of Physics (Belgrade). ; Peer reviewed