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While it is vital to agree to a set of global objectives and targets to reduce plastic pollution as part of the Global Plastic Treaty, past negotiations have been troubled by differences in regional and national priorities and needs. To take these different priorities and needs into account, this letter proposes the adoption of an interdisciplinary source-to-sea approach. A source-to-sea approach emphasizes the connected nature between land-based sources of marine plastic pollution along the life cycle of plastic products on the one hand, and air, soil, and water cycles that determine marine plastic flows and associated sustainability risks on the other hand. It takes into account how we know more about the way in which production, use and plastic waste contribute to the pollution of rivers and seas in one location (e.g. in Europe), than we do for rivers and seas in other places (e.g. Africa). There are also regional and national differences in how much awareness exist about plastic pollution and how it is governed and regulated. These differences translate in different priorities and needs in terms of how to most efficiently and effectively reduce plastic pollution. The letter argues that these differences should be embraced and that an interdisciplinary source-to-sea approach can help to develop tailor-made regional and national targets and measures that in turn contribute to achieving the global ambitions of the Global Plastic Treaty. A key role is foreseen for existing governance institutions, such as river basin commissions and regional seas conventions (coordinated by UNEP Regional seas Programme), while the Global Plastic Treaty can become a platform for sharing of approaches, lessons and strategies between regions and countries so that over time, plastic pollution will be reduced worldwide.
Humans show remarkable differences in social behaviour between families, groups, communities and cultures, whereas such group-level within-species variation in socio-behavioural propensities is typically overlooked in other species. Studies on intraspecific variation in animal social structures are needed to inform an evolutionary account of human sociality. Here, we study multiple independent bonobo populations (n = 6) in zoological settings to investigate if and how bonobos (n = 70) show group-specific signatures in sociality. By applying tailored Bayesian statistical methods, we find that beyond individual and dyadic variation, the groups substantially differ from each other in core dimensions of great ape sociality: social proximity, grooming and play. Moreover, the groups’ network structures are distinct regarding cohesiveness and clustering, with some groups forming cohesive wholes, while others showcasing high levels of sub-grouping. Overall, while there is consistent evidence of differences in sociality between the groups, the patterns of cohesiveness and clustering are not consistent across the networks. This suggests that rather than groups having different levels of sociality, different patterns of sociality exist in each group. These findings warrant caution with characterising bonobos’ behavioural phenotype at the species level, and identify an essential source of variation that needs to be integrated in phylogenetic analyses.
Although behavioral mechanisms in the association among depression, anxiety, and cancer are plausible, few studies have empirically studied mediation by health behaviors. We aimed to examine the mediating role of several health behaviors in the associations among depression, anxiety, and the incidence of various cancer types (overall, breast, prostate, lung, colorectal, smoking-related, and alcohol-related cancers).
Methods
Two-stage individual participant data meta-analyses were performed based on 18 cohorts within the Psychosocial Factors and Cancer Incidence consortium that had a measure of depression or anxiety (N = 319 613, cancer incidence = 25 803). Health behaviors included smoking, physical inactivity, alcohol use, body mass index (BMI), sedentary behavior, and sleep duration and quality. In stage one, path-specific regression estimates were obtained in each cohort. In stage two, cohort-specific estimates were pooled using random-effects multivariate meta-analysis, and natural indirect effects (i.e. mediating effects) were calculated as hazard ratios (HRs).
Results
Smoking (HRs range 1.04–1.10) and physical inactivity (HRs range 1.01–1.02) significantly mediated the associations among depression, anxiety, and lung cancer. Smoking was also a mediator for smoking-related cancers (HRs range 1.03–1.06). There was mediation by health behaviors, especially smoking, physical inactivity, alcohol use, and a higher BMI, in the associations among depression, anxiety, and overall cancer or other types of cancer, but effects were small (HRs generally below 1.01).
Conclusions
Smoking constitutes a mediating pathway linking depression and anxiety to lung cancer and smoking-related cancers. Our findings underline the importance of smoking cessation interventions for persons with depression or anxiety.
Gamma-ray bursts (GRBs) and double neutron star merger gravitational-wave events are followed by afterglows that shine from X-rays to radio, and these broadband transients are generally interpreted using analytical models. Such models are relatively fast to execute, and thus easily allow estimates of the energy and geometry parameters of the blast wave, through many trial-and-error model calculations. One problem, however, is that such analytical models do not capture the underlying physical processes as well as more realistic relativistic numerical hydrodynamic (RHD) simulations do. Ideally, those simulations are used for parameter estimation instead, but their computational cost makes this intractable. To this end, we present DeepGlow, a highly efficient neural network architecture trained to emulate a computationally costly RHD-based model of GRB afterglows, to within a few percent accuracy. As a first scientific application, we compare both the emulator and a different analytical model calibrated to RHD simulations, to estimate the parameters of a broadband GRB afterglow. We find consistent results between these two models, and also give further evidence for a stellar wind progenitor environment around this GRB source. DeepGlow fuses simulations that are otherwise too complex to execute over all parameters, to real broadband data of current and future GRB afterglows.
The coronavirus disease 2019 (COVID-19) pandemic might affect mental health. Data from population-representative panel surveys with multiple waves including pre-COVID data investigating risk and protective factors are still rare.
Methods
In a stratified random sample of the German household population (n = 6684), we conducted survey-weighted multiple linear regressions to determine the association of various psychological risk and protective factors assessed between 2015 and 2020 with changes in psychological distress [(PD; measured via Patient Health Questionnaire for Depression and Anxiety (PHQ-4)] from pre-pandemic (average of 2016 and 2019) to peri-pandemic (both 2020 and 2021) time points. Control analyses on PD change between two pre-pandemic time points (2016 and 2019) were conducted. Regularized regressions were computed to inform on which factors were statistically most influential in the multicollinear setting.
Results
PHQ-4 scores in 2020 (M = 2.45) and 2021 (M = 2.21) were elevated compared to 2019 (M = 1.79). Several risk factors (catastrophizing, neuroticism, and asking for instrumental support) and protective factors (perceived stress recovery, positive reappraisal, and optimism) were identified for the peri-pandemic outcomes. Control analyses revealed that in pre-pandemic times, neuroticism and optimism were predominantly related to PD changes. Regularized regression mostly confirmed the results and highlighted perceived stress recovery as most consistent influential protective factor across peri-pandemic outcomes.
Conclusions
We identified several psychological risk and protective factors related to PD outcomes during the COVID-19 pandemic. A comparison of pre-pandemic data stresses the relevance of longitudinal assessments to potentially reconcile contradictory findings. Implications and suggestions for targeted prevention and intervention programs during highly stressful times such as pandemics are discussed.
Synesthesia is a non-pathological condition where sensory stimuli (e.g. letters or sounds) lead to additional sensations (e.g. color). It occurs more commonly in individuals diagnosed with Autism Spectrum Condition (ASC) and is associated with increased autistic traits and autism-related perceptual processing characteristics, including a more detail-focused attentional style and altered sensory sensitivity. In addition, autistic traits correlate with the degree of synesthesia (consistency of color choices on an objective synesthesia test) in non-synesthetes.
Objectives
We aimed to investigate whether the degree of synesthesia for graphemes is associated with autistic traits and perceptual processing alterations within twin pairs, where all factors shared by twins (e.g. age, family background, and 50-100% genetics) are implicitly controlled for.
Methods
We investigated a predominantly non-synesthetic twin sample, enriched for ASC and other neurodevelopmental disorders (n=65, 14-34 years, 60% female), modelling the linear relationships between the degree of synesthesia and autistic traits, sensory sensitivity, and visual perception, both within-twin pairs (22 pairs) and across the entire cohort.
Results
A higher degree of synesthesia was associated with increased autistic traits only within the attention to details domain, with sensory hyper-, but not hypo-sensitivity and with being better in identifying fragmented images. These associations were stronger within-twin pairs compared to across the sample.
Conclusions
Consistent with previous findings, the results support an association between the degree of synesthesia and autistic traits and autism-related perceptual features, however restricted to specific domains. Further, the results indicate that a twin design can be more sensitive for detecting these associations.
We describe system verification tests and early science results from the pulsar processor (PTUSE) developed for the newly commissioned 64-dish SARAO MeerKAT radio telescope in South Africa. MeerKAT is a high-gain (
${\sim}2.8\,\mbox{K Jy}^{-1}$
) low-system temperature (
${\sim}18\,\mbox{K at }20\,\mbox{cm}$
) radio array that currently operates at 580–1 670 MHz and can produce tied-array beams suitable for pulsar observations. This paper presents results from the MeerTime Large Survey Project and commissioning tests with PTUSE. Highlights include observations of the double pulsar
$\mbox{J}0737{-}3039\mbox{A}$
, pulse profiles from 34 millisecond pulsars (MSPs) from a single 2.5-h observation of the Globular cluster Terzan 5, the rotation measure of Ter5O, a 420-sigma giant pulse from the Large Magellanic Cloud pulsar PSR
$\mbox{J}0540{-}6919$
, and nulling identified in the slow pulsar PSR J0633–2015. One of the key design specifications for MeerKAT was absolute timing errors of less than 5 ns using their novel precise time system. Our timing of two bright MSPs confirm that MeerKAT delivers exceptional timing. PSR
$\mbox{J}2241{-}5236$
exhibits a jitter limit of
$<4\,\mbox{ns h}^{-1}$
whilst timing of PSR
$\mbox{J}1909{-}3744$
over almost 11 months yields an rms residual of 66 ns with only 4 min integrations. Our results confirm that the MeerKAT is an exceptional pulsar telescope. The array can be split into four separate sub-arrays to time over 1 000 pulsars per day and the future deployment of S-band (1 750–3 500 MHz) receivers will further enhance its capabilities.
The main objective of this paper is to give an overview of the risks seen in the exploration and production of geothermal energy from the viewpoint of the regulator. The risks are categorised as conventional risks, ultra-deep risks and enhancing factors. These risks are similar to those seen in the oil and gas industry, but the maturity of the geothermal sector in terms of managing such risks is much lower.
Another objective of this paper is to discuss how these risks are managed and mitigated by the sector and the supervisor, State Supervision of Mines (SodM). Portfolio operators developing multiple projects, using skilled employees and embracing continuous improvement are seen as the way forward for the sector to grow safely and sustainably.
This paper concludes that positive developments have started, but a lot of work still needs to be done to ensure safe growth of the geothermal energy sector.
An adaptive neural stress response is essential to adequately cope with a changing environment. It was previously argued that sympathetic/noradrenergic activity during acute stress increases salience network (SN) connectivity and reduces executive control network (ECN) connectivity in healthy controls, with opposing effects in the late aftermath of stress. Altered temporal dynamics of these networks in response to stress are thought to play a role in the development of psychopathology in vulnerable individuals.
Methods
We exposed male healthy controls (n = 40, mean age = 33.9) and unaffected siblings of schizophrenia patients (n = 39, mean age = 33.2) to the stress or control condition of the trier social stress test and subsequently investigated resting state functional connectivity of the SN and ECN directly after and 1.5 h after stress.
Results
Acute stress resulted in increased functional connectivity within the SN in healthy controls, but not in siblings (group × stress interaction pfwe < 0.05). In the late aftermath of stress, stress reduced functional connectivity within the SN in both groups. Moreover, we found increased functional connectivity between the ECN and the cerebellum in the aftermath of stress in both healthy controls and siblings of schizophrenia patients.
Conclusions
The results show profound differences between siblings of schizophrenia patients and controls during acute stress. Siblings lacked the upregulation of neural resources necessary to quickly and adequately cope with a stressor. This points to a reduced dynamic range in the sympathetic response, and may constitute a vulnerability factor for the development of psychopathology in this at-risk group.
Gaia DR2 was released in April 2018 and contains a photometric catalogue of more than 1 billion sources. This release contains colour information in the form of integrated BP and RP photometry in addition to the latest G-band photometry. The level of uncertainty can be as good as 2 mmag with some residual systematics at the 10 mmag level. The addition of colour information greatly enhances the value of the photometric data for the scientific community. A high level overview of the photometric processing, with a focus on the improvements with respect to Gaia DR1, was given. The definition of the Gaia photometric system, a crucial part of the calibration of the photometry, was also explained. Finally, some of the photometric improvements expected for the next data release were described.
PSR B1828–11 is a young pulsar once thought to be undergoing free precession and recently found instead to be switching magnetospheric states in tandem with spin-down changes. Here we show the two extreme states of the mode-changing found for this pulsar and comment briefly on its interpretation.
This report describes an ongoing project initiated in late 2012 to investigate the use of chain line pattern (CLiP) matching for the detection of mould mates (sheets made from the same papermaking mould) in the European paper used for printing Rembrandt's etchings. We investigate the application of computer-based image processing tools to mark, measure, and compare the idiosyncratic intervals of chain lines as recorded in beta-radiographs of individual sheets in the hunt for mouldmates. Results indicate that CLiP has strong potential for investigating and matching papers used by Rembrandt and other early modern printmakers. It provides a new method that can identify related objects even in the absence of a watermark.
Keywords: Rembrandt van Rijn, chain line pattern matching, papermaking, watermarks, Medea
Background
The study of Rembrandt's prints has occupied scholars for over two centuries. With several thousand impressions in existence today, the study of his printing papers occupies a prominent place within this scholarship. Rembrandt's prints were predominantly executed on antique laid papers. Until the widespread adoption of the papermaking machine in the early nineteenth century, paper was made by scooping up macerated and suspended paper pulp from a vat using a rectangular mould comprised of a porous screen surrounded by a removable wooden frame. Prior to 1750, the screen was fabricated from fine, densely spaced horizontal rows of laid wires secured by thicker, more widely spaced vertical chain wires. When the mould was plunged into the vat and lifted out, the wires acted as a sieve, filtering out the pulp in thinner and thicker accumulations depending upon how much interference they produced as the water drained through. The crisscrossed pattern of chain and laid lines is thus replicated in the final sheet of paper. Because the paper is thinner in areas corresponding to the wire grid, the laid and chain line pattern can be easily seen when the paper is held up to the light. Two papers will have identical laid and chain line patterns if they have been formed at the same time in the same manner on the same mould – hence they are called mouldmates.
Between 1270 and 1870 Britain slowly progressed from the periphery of the European economy to centre-stage of an integrated world economy. In the process it escaped from Malthusian constraints and by the eighteenth century had successfully reconciled rising population with rising living standards. This final chapter reflects upon this protracted but profound economic transformation from the perspective of the national income estimates assembled in Part I and analysed in Part II of this book. Because Britain’s economic rise did not unfold in isolation, account is taken of the broader comparative context provided by the national income reconstructions now available for several other Eurasian countries: Spain from 1282, Italy from 1310 and Holland from 1348, plus Japan from 725, China from 980 and India from 1600. All are output-based estimates but have been derived via a range of alternative approaches according to the nature of the available historical evidence. Several make ingenious use of real wage rates and urbanisation ratios (Malanima, 2011; Álvarez-Nogal and Prados de la Escosura, 2013), two economic indicators often used as surrogates for estimates of GDP per head. Only the GDP estimates for Holland, like these for Britain, have been made the hard way, by summing the weighted value-added outputs of the agricultural, industrial and service sectors and then dividing the results by estimates of total population obtained by reconciling time-series and cross-sectional demographic data. Methodologically, the British and Dutch national income estimates are therefore the most directly comparable. Each is free from overdependence upon any single or narrow range of data series and, instead, they encapsulate variations in the wide range of economic indicators, appropriately weighted in line with their importance in overall economic activity, from which they have been reconstructed.
Agriculture was for long the single largest component of the English and British economies, both in terms of its share of employment and the value of its output. The latter was a function of the amount of land under cultivation, the uses to which it was put, the productivities of crops and animals and their respective prices. The main purpose of this chapter is to describe the methods used to derive the areas under arable and grass and, in particular, the total sown acreage. The crops produced and animals stocked are the subjects of the following chapter. Along the way, it will be demonstrated that claims that the peak arable area in the medieval period may have exceeded 20 million acres (Clark, 2007a: 124) are unrealistic, since, on the best available evidence, the combined total under field crops and fallow could not have been more than 12.75 million acres. In the absence of significant food imports, this limited both the population that could be supported and the supply of kilocalories per head needed for survival. It also shaped the production choices made by agricultural producers.
Comprehensive national agricultural statistics were collected annually from 1866 and provide the starting point for calculating the acreages of arable and grass (Anon, 1968; Coppock, 1984). Together with the tithe files, which provide a precise but incomplete guide to the share of land in each county devoted to arable production during the 1830s (Kain, 1986; Overton, 1986), they are used to provide a nineteenth-century benchmark. The chapter proceeds as follows. After a discussion of the potential agricultural area of England in Section 2.2, Section 2.3 reviews the arable acreage by county from the tithe files of the 1830s and from the agricultural statistics of 1871. Section 2.4 then examines changes in land use between 1290 and 1871, while Section 2.5 presents county-level estimates of the arable acreage in 1290. Section 2.6 provides a further cross-check by examining changes in land use between 1086 and 1290. Finally, Section 2.7 provides estimates of land use for a number of benchmark years between 1270 and 1871.
Economic growth can be either extensive or intensive. Extensive growth arises where more output is produced in line with a growing population but living standards remain constant, while intensive growth arises where more output is produced by each person. In the former case, there is no economic development, as the economy simply reproduces itself on a larger scale: in the latter, living standards rise as the economy goes through a process of economic development. To understand the long-run growth of the British economy reaching back to the thirteenth century therefore requires knowledge of the trajectories followed by both population and GDP. Of particular interest is whether periods of intensive growth, distinguished by rising GDP per head, were accompanied by expanding or contracting population. For it is one thing for living standards to rise during a period of population decline, such as that induced by the recurrent plagues of the second half of the fourteenth century, when survivors found themselves able to add the land and capital of those who had perished to their own stocks, but quite another for living standards and population to rise together, particularly given the emphasis of Malthus [1798] on diminishing returns. Indeed, Kuznets (1966: 34–85) identified simultaneous growth of population and income per head (i.e. the concurrence of intensive and extensive growth) as one of the key features that distinguished modern from pre-industrial economic growth.
Chapter 6 has argued that workers responded to changes in real wage rates by adapting how hard they worked so as to maintain their earnings. Household incomes therefore tracked GDP per head rather than real wage rates and progressively improved over time, doubling between the early fourteenth and late seventeenth centuries and doubling again over the course of the industrial revolution. Higher incomes translated into changing patterns of consumption and the forms these consumption choices took are the subjects of this chapter. Section 7.2 reconstructs the kilocalorie value and composition of diets based on the agricultural-output estimates presented in Chapter 3, augmented by information on imported foodstuffs. Given that populations require an average daily food intake per head of 2,000 kilocalories (Livi-Bacci, 1991: 27) to provide sufficient nourishment for both economic and biological reproduction, these calculations also provide a useful cross-check on the consistency of the agricultural-output and population estimates. Section 7.3 then considers non-food consumption drawing upon early modern evidence of material culture as revealed by probate inventories. Again, these trends need to be consistent with those of industrial output reconstructed in Chapter 4.
Price, habit, fashion and status all shaped the budgetary decisions taken by households. Demand for food was inelastic up to the point where basic subsistence needs had been met, but as incomes rose there were clear trade-offs to be obtained between increasing consumption of cheap sources of kilocalories such as pottage, potatoes and salted herrings on the one hand, or indulging in more expensive refined bread, quality ale and beer, dairy produce and meat, plus the imported luxuries of wine, sugar, tea, cocoa and tobacco, on the other. In effect, higher incomes allowed more households to trade up to a respectability basket of foodstuffs providing a more varied and processed diet but not necessarily more kilocalories. The changing relative prices of arable, livestock and luxury products influenced these consumption decisions, while the relative cheapness or dearness of food determined how much disposable income could be devoted to the increasingly varied and tempting array of non-food consumer goods (Figure 5.02).
Income distribution in England between 1270 and 1870, as elsewhere in Western Europe, was profoundly unequal due to entrenched inequalities in access to the land, capital, education and political power upon which personal wealth depended. Gender, rank and servility and their differential legal rights were determined at birth. Privilege, patronage and position ensured that rent-seeking was rife, while warfare created opportunities for ransom and plunder to the enrichment of those in command and impoverishment of the vanquished. Everywhere, as a result, there were rich men in their castles and poor men at their gates. Moreover, as van Zanden (1995) and Milanovic and others (2007) have demonstrated, the effect of economic growth was to magnify rather than mitigate these inequalities and widen the income gap between those at the top and bottom of the social pyramid.
The rich became richer as average wealth grew because the more wealth there was the greater the opportunities for those with power and privilege to enrich themselves at the expense of the weak and disadvantaged majority. In Holland one legacy of the prosperity achieved during the Dutch Golden Age was a greatly increased inequality of incomes, which was more marked in towns than rural villages and greatest of all in major cities (van Zanden, 1995). In England, similarly, Milanovic and others (2007) claim that inequality rose with average incomes between 1688 and 1801/03, thereby confirming Kuznets’ (1955) observation that income inequality typically increased during the early stages of economic growth and only declined relatively late in the modernisation process. Prior to 1870, therefore, increasing inequality can be treated, like urbanisation, as a characteristic and unavoidable manifestation of economic growth.