Showing papers by "University of Massachusetts Boston published in 2016"

Global patterns of kelp forest change over the past half-century

Abstract: Kelp forests (Order Laminariales) form key biogenic habitats in coastal regions of temperate and Arctic seas worldwide, providing ecosystem services valued in the range of billions of dollars annually. Although local evidence suggests that kelp forests are increasingly threatened by a variety of stressors, no comprehensive global analysis of change in kelp abundances currently exists. Here, we build and analyze a global database of kelp time series spanning the past half-century to assess regional and global trends in kelp abundances. We detected a high degree of geographic variation in trends, with regional variability in the direction and magnitude of change far exceeding a small global average decline (instantaneous rate of change = −0.018 y−1). Our analysis identified declines in 38% of ecoregions for which there are data (−0.015 to −0.18 y−1), increases in 27% of ecoregions (0.015 to 0.11 y−1), and no detectable change in 35% of ecoregions. These spatially variable trajectories reflected regional differences in the drivers of change, uncertainty in some regions owing to poor spatial and temporal data coverage, and the dynamic nature of kelp populations. We conclude that although global drivers could be affecting kelp forests at multiple scales, local stressors and regional variation in the effects of these drivers dominate kelp dynamics, in contrast to many other marine and terrestrial foundation species.

Performance of $b$-Jet Identification in the ATLAS Experiment

Abstract: The identification of jets containing b hadrons is important for the physics programme of the ATLAS experiment at the Large Hadron Collider. Several algorithms to identify jets containing b hadrons are described, ranging from those based on the reconstruction of an inclusive secondary vertex or the presence of tracks with large impact parameters to combined tagging algorithms making use of multi-variate discriminants. An independent b-tagging algorithm based on the reconstruction of muons inside jets as well as the b-tagging algorithm used in the online trigger are also presented. The b-jet tagging efficiency, the c-jet tagging efficiency and the mistag rate for light flavour jets in data have been measured with a number of complementary methods. The calibration results are presented as scale factors defined as the ratio of the efficiency (or mistag rate) in data to that in simulation. In the case of b jets, where more than one calibration method exists, the results from the various analyses have been combined taking into account the statistical correlation as well as the correlation of the sources of systematic uncertainty.

Active dielectric metasurface based on phase-change medium

Abstract: We propose all-dielectric metasurfaces that can be actively re-configured using the phase-change material Ge2Sb2Te5 (GST) alloy With selectively controlled phase transitions on the composing GST elements, metasurfaces can be tailored to exhibit varied functionalities Using phase-change GST rod as the basic building block, we have modelled metamolecules with tunable optical response when phase change occurs on select constituent GST rods Tunable gradient metasurfaces can be realized with variable supercell period consisting of different patterns of the GST rods in their amorphous and crystalline states Simulation results indicate a range of functions can be delivered, including multilevel signal modulating, near-field coupling of GST rods, and anomalous reflection angle controlling This work opens up a new space in exploring active meta-devices with broader applications that cannot be achieved in their passive counterparts with permanent properties once fabricated

SceneNN: A Scene Meshes Dataset with aNNotations

Abstract: Several RGB-D datasets have been publicized over the past few years for facilitating research in computer vision and robotics. However, the lack of comprehensive and fine-grained annotation in these RGB-D datasets has posed challenges to their widespread usage. In this paper, we introduce SceneNN, an RGB-D scene dataset consisting of 100 scenes. All scenes are reconstructed into triangle meshes and have per-vertex and per-pixel annotation. We further enriched the dataset with fine-grained information such as axis-aligned bounding boxes, oriented bounding boxes, and object poses. We used the dataset as a benchmark to evaluate the state-of-the-art methods on relevant research problems such as intrinsic decomposition and shape completion. Our dataset and annotation tools are available at http://www.scenenn.net.

Mental health and psychosocial wellbeing of Syrians affected by armed conflict.

Abstract: AIMS: This paper is based on a report commissioned by the United Nations High Commissioner for Refugees, which aims to provide information on cultural aspects of mental health and psychosocial wellbeing relevant to care and support for Syrians affected by the crisis. This paper aims to inform mental health and psychosocial support (MHPSS) staff of the mental health and psychosocial wellbeing issues facing Syrians who are internally displaced and Syrian refugees. METHODS: We conducted a systematic literature search designed to capture clinical, social science and general literature examining the mental health of the Syrian population. The main medical, psychological and social sciences databases (e.g. Medline, PubMed, PsycInfo) were searched (until July 2015) in Arabic, English and French language sources. This search was supplemented with web-based searches in Arabic, English and French media, and in assessment reports and evaluations, by nongovernmental organisations, intergovernmental organisations and agencies of the United Nations. This search strategy should not be taken as a comprehensive review of all issues related to MHPSS of Syrians as some unpublished reports and evaluations were not reviewed. RESULTS: Conflict affected Syrians may experience a wide range of mental health problems including (1) exacerbations of pre-existing mental disorders; (2) new problems caused by conflict related violence, displacement and multiple losses; as well as (3) issues related to adaptation to the post-emergency context, for example living conditions in the countries of refuge. Some populations are particularly vulnerable such as men and women survivors of sexual or gender based violence, children who have experienced violence and exploitation and Syrians who are lesbian, gay, bisexual, transgender or intersex. Several factors influence access to MHPSS services including language barriers, stigma associated with seeking mental health care and the power dynamics of the helping relationship. Trust and collaboration can be maximised by ensuring a culturally safe environment, respectful of diversity and based on mutual respect, in which the perspectives of clients and their families can be carefully explored. CONCLUSIONS: Sociocultural knowledge and cultural competency can improve the design and delivery of interventions to promote mental health and psychosocial wellbeing of Syrians affected by armed conflict and displacement, both within Syria and in countries hosting refugees from Syria. Language: en

Observation of Long-Range Elliptic Azimuthal Anisotropies in s =13 and 2.76 TeV pp Collisions with the ATLAS Detector

Abstract: ATLAS has measured two-particle correlations as a function of relative azimuthal-angle, $\Delta \phi$, and pseudorapidity, $\Delta \eta$, in $\sqrt{s}$=13 and 2.76 TeV $pp$ collisions at the LHC using charged particles measured in the pseudorapidity interval $|\eta|$<2.5. The correlation functions evaluated in different intervals of measured charged-particle multiplicity show a multiplicity-dependent enhancement at $\Delta \phi \sim 0$ that extends over a wide range of $\Delta\eta$, which has been referred to as the "ridge". Per-trigger-particle yields, $Y(\Delta \phi)$, are measured over 2<$|\Delta\eta|$<5. For both collision energies, the $Y(\Delta \phi)$ distribution in all multiplicity intervals is found to be consistent with a linear combination of the per-trigger-particle yields measured in collisions with less than 20 reconstructed tracks, and a constant combinatoric contribution modulated by $\cos{(2\Delta \phi)}$. The fitted Fourier coefficient, $v_{2,2}$, exhibits factorization, suggesting that the ridge results from per-event $\cos{(2\phi)}$ modulation of the single-particle distribution with Fourier coefficients $v_2$. The $v_2$ values are presented as a function of multiplicity and transverse momentum. They are found to be approximately constant as a function of multiplicity and to have a $p_{\mathrm{T}}$ dependence similar to that measured in $p$+Pb and Pb+Pb collisions. The $v_2$ values in the 13 and 2.76 TeV data are consistent within uncertainties. These results suggest that the ridge in $pp$ collisions arises from the same or similar underlying physics as observed in $p$+Pb collisions, and that the dynamics responsible for the ridge has no strong $\sqrt{s}$ dependence.

Estimating local biodiversity change: a critique of papers claiming no net loss of local diversity.

Abstract: Global species extinction rates are orders of magnitude above the background rate documented in the fossil record. However, recent data syntheses have found mixed evidence for patterns of net species loss at local spatial scales. For example, two recent data meta-analyses have found that species richness is decreasing in some locations and is increasing in others. When these trends are combined, these papers argued there has been no net change in species richness, and suggested this pattern is globally representative of biodiversity change at local scales. Here we reanalyze results of these data syntheses and outline why this conclusion is unfounded. First, we show the datasets collated for these syntheses are spatially biased and not representative of the spatial distribution of species richness or the distribution of many primary drivers of biodiversity change. This casts doubt that their results are representative of global patterns. Second, we argue that detecting the trend in local species richness is very difficult with short time series and can lead to biased estimates of change. Reanalyses of the data detected a signal of study duration on biodiversity change, indicating net biodiversity loss is most apparent in studies of longer duration. Third, estimates of species richness change can be biased if species gains during post-disturbance recovery are included without also including species losses that occurred during the disturbance. Net species gains or losses should be assessed with respect to common baselines or reference communities. Ultimately, we need a globally coordinated effort to monitor biodiversity so that we can estimate and attribute human impacts as causes of biodiversity change. A combination of technologies will be needed to produce regularly updated global datasets of local biodiversity change to guide future policy. At this time the conclusion that there is no net change in local species richness is not the consensus state of knowledge.

The Political Dynamics of Sustainable Coffee: Contested Value Regimes and the Transformation of Sustainability

Abstract: The global coffee sector has seen a transformation towards more ‘sustainable’ forms of production, and, simultaneously, the continued dominance of mainstream coffee firms and practices. We examine this paradox by conceptualizing the underlying process of political corporate social responsibility (PCSR) as a series of long-term, multi-dimensional interactions between civil society and corporate actors, drawing from the neo-Gramscian concepts of hegemony and passive revolution. A longitudinal study of the evolution of coffee sustainability standards suggests that PCSR can be understood as a process of challenging and defending value regimes, within which viable configurations of economic models, normative-cultural values, and governance structures are aligned and stabilized. Specifically, we show how dynamics of moves and accommodations between challengers and corporate actors shape the practice and meaning of ‘sustainable’ coffee. The results contribute to understanding the political dynamics of CSR as a dialectic process of ‘revolution/restoration’, or passive revolution, whereby value regimes assimilate and adapt to potentially disruptive challenges, transforming sustainability practices and discourse.

Shortcuts to adiabaticity by counterdiabatic driving for trapped-ion displacement in phase space

Abstract: The application of adiabatic protocols in quantum technologies is severely limited by environmental sources of noise and decoherence. Shortcuts to adiabaticity by counterdiabatic driving constitute a powerful alternative that speed up time-evolution while mimicking adiabatic dynamics. Here we report the experimental implementation of counterdiabatic driving in a continuous variable system, a shortcut to the adiabatic transport of a trapped ion in phase space. The resulting dynamics is equivalent to a 'fast-motion video' of the adiabatic trajectory. The robustness of this protocol is shown to surpass that of competing schemes based on classical local controls and Fourier optimization methods. Our results demonstrate that shortcuts to adiabaticity provide a robust speedup of quantum protocols of wide applicability in quantum technologies.

Lies, Damned Lies, and Survey Self-Reports? Identity as a Cause of Measurement Bias.

Abstract: Explanations of error in survey self-reports have focused on social desirability: that respondents answer questions about normative behavior to appear prosocial to interviewers. However, this paradigm fails to explain why bias occurs even in self-administered modes like mail and web surveys. We offer an alternative explanation rooted in identity theory that focuses on measurement directiveness as a cause of bias. After completing questions about physical exercise on a web survey, respondents completed a text message-based reporting procedure, sending updates on their major activities for five days. Random assignment was then made to one of two conditions: instructions mentioned the focus of the study, physical exercise, or not. Survey responses, text updates, and records from recreation facilities were compared. Direct measures generated bias-overreporting in survey measures and reactivity in the directive text condition-but the nondirective text condition generated unbiased measures. Findings are discussed in terms of identity.

An optically pumped 2.5 μm GeSn laser on Si operating at 110 K

Abstract: This paper reports the demonstration of optically pumped GeSn edge-emitting lasers grown on Si substrates The whole device structures were grown by an industry standard chemical vapor deposition reactor using the low cost commercially available precursors SnCl4 and GeH4 in a single run epitaxy process Temperature-dependent characteristics of laser-output versus pumping-laser-input showed lasing operation up to 110 K The 10 K lasing threshold and wavelength were measured as 68 kW/cm2 and 2476 nm, respectively Lasing characteristic temperature (T0) was extracted as 65 K

The empty rhetoric of the smart city: from digital inclusion to economic promotion in Philadelphia

Abstract: Smart city initiatives have been adopted by cities worldwide, proposing forward-looking, technological solutions to urban problems big and small. These policies are indicative of a digitized urban condition, where social and economic exchange rely on globalized telecommunications networks, and governance strategies follow suit. Propelled through events such as IBM’s Smarter Cities Challenge, the smart city acts as a data-driven logic urban change where widespread benefit to a city and its residents is proposed, masking the utility of these policies to further entrepreneurial economic development strategies. In this article, I present a case study of the Digital On-Ramps initiative that emerged from IBM’s policy-consultation in Philadelphia. The initiative proposed a social media-style workforce education application (app) to train up to 500,000 low-literacy residents for jobs in the information and knowledge economy, but even as the city’s mayor declared the project a success, it did not meet expectations...

Privacy Leakage of Location Sharing in Mobile Social Networks: Attacks and Defense

Abstract: Along with the popularity of mobile social networks (MSNs) is the increasing danger of privacy breaches due to user location exposures. In this work, we take an initial step towards quantifying location privacy leakage from MSNs by matching the users' shared locations with their real mobility traces. We conduct a three-week real-world experiment with 30 participants and discover that both direct location sharing (e.g., Weibo or Renren) and indirect location sharing (e.g., Wechat or Skout) can reveal a small percentage of users' real points of interests (POIs). We further propose a novel attack to allow an external adversary to infer the demographics (e.g., age, gender, education) after observing users' exposed location profiles. We implement such an attack in a large real-world dataset involving 22,843 mobile users. The experimental results show that the attacker can effectively predict demographic attributes about users with some shared locations. To resist such attacks, we propose SmartMask, a context-based system-level privacy protection solution, designed to automatically learn users' privacy preferences under different contexts and provide a transparent privacy control for MSN users. The effectiveness and efficiency of SmartMask have been well validated by extensive experiments.

Validation of a New Three-Item Self-Report Measure for Medication Adherence.

Abstract: Few self-report measures of medication adherence have been rigorously developed and validated against electronic drug monitoring (EDM). Assess the validity of the 3-item self-report scale by comparing it with a contemporaneous EDM measure. We conducted an observational study in which adherence assessments were done monthly for up to 4 months for 81 patients with HIV who were taking antiretroviral medications. We report results for both HIV antiretroviral medications, and also for other, non-HIV-related medications. Raw and calibrated self-report adherence measures, electronic drug monitoring adherence measures, and sociodemographic variables. The mean age of patients was 46 years, 37 % were female, 49 % had some education beyond high school, 22 % were Black, and 22 % were Hispanic. Cronbach's alphas for the 3-item scale for HIV and non-HIV medications were 0.83 and 0.87, respectively. The mean differences (raw/uncalibrated self-report scale minus EDM) for HIV and non-HIV medications were 7.5 and 5.2 points on a 100-point scale (p < 0.05 for both). Pearson correlation coefficients between the calibrated 3-item scale and the EDM for HIV and non-HIV medications were 0.47 and 0.59, respectively. The c-statistics for the ROC curves for the calibrated scale, using cut-offs of 0.8 and 0.9 for the EDM gold standard measure to define non-adherence, were between 0.74 and 0.76 for HIV and non-HIV medications. This 3-item adherence self-report scale showed good psychometric characteristics and good construct validity when compared with an EDM standard, for both HIV and non-HIV medications. In clinical care it can be a useful first-stage screener for non-adherence. In clinical research and quality improvement settings it can be a useful tool when more complex and expensive methods such as EDM or pharmacy claims are impractical or unavailable.

Operational resilience: Concepts, design and analysis

Abstract: Building resilience into today's complex infrastructures is critical to the daily functioning of society and its ability to withstand and recover from natural disasters, epidemics, and cyber-threats. This study proposes quantitative measures that capture and implement the definition of engineering resilience advanced by the National Academy of Sciences. The approach is applicable across physical, information, and social domains. It evaluates the critical functionality, defined as a performance function of time set by the stakeholders. Critical functionality is a source of valuable information, such as the integrated system resilience over a time interval, and its robustness. The paper demonstrates the formulation on two classes of models: 1) multi-level directed acyclic graphs, and 2) interdependent coupled networks. For both models synthetic case studies are used to explore trends. For the first class, the approach is also applied to the Linux operating system. Results indicate that desired resilience and robustness levels are achievable by trading off different design parameters, such as redundancy, node recovery time, and backup supply available. The nonlinear relationship between network parameters and resilience levels confirms the utility of the proposed approach, which is of benefit to analysts and designers of complex systems and networks.

Expecting Rejection: Understanding the Minority Stress Experiences of Transgender and Gender-Nonconforming Individuals.

Abstract: Purpose: Transgender and gender-nonconforming (TGNC) individuals often are the target of enacted or external (i.e., distal) experiences of stigma, discrimination, and violence, which are linked to adverse health, particularly psychological distress. There is limited research, however, examining felt or internal (i.e., proximal) stressors faced by TGNC individuals. This study sought to examine one type of internal stressor, expecting rejection, and aimed to (1) identify how and to what extent rejection expectations operate day-to-day for TGNC individuals and (2) explore how TGNC individuals respond to expectations of rejection. Methods: In-depth interviews were conducted with 30 participants from 2014 to 2015 who identified as TGNC (mean age=30.4; 60% people of color); data were analyzed using a consensual qualitative research method. Results: Four thematic categories emerged about expecting rejection: (1) where to expect rejection; (2) thoughts and feelings associated with expectations of rejecti...

Phenotypic shifts in urban areas in the tropical lizard Anolis cristatellus

Abstract: Urbanization is an increasingly important dimension of global change, and urban areas likely impose significant natural selection on the species that reside within them. Although many species of plants and animals can survive in urban areas, so far relatively little research has investigated whether such populations have adapted (in an evolutionary sense) to their newfound milieu. Even less of this work has taken place in tropical regions, many of which have experienced dramatic growth and intensification of urbanization in recent decades. In the present study, we focus on the neotropical lizard, Anolis cristatellus. We tested whether lizard ecology and morphology differ between urban and natural areas in three of the most populous municipalities on the island of Puerto Rico. We found that environmental conditions including temperature, humidity, and substrate availability differ dramatically between neighboring urban and natural areas. We also found that lizards in urban areas use artificial substrates a large proportion of the time, and that these substrates tend to be broader than substrates in natural forest. Finally, our morphological data showed that lizards in urban areas have longer limbs relative to their body size, as well as more subdigital scales called lamellae, when compared to lizards from nearby forested habitats. This shift in phenotype is exactly in the direction predicted based on habitat differences between our urban and natural study sites, combined with our results on how substrates are being used by lizards in these areas. Findings from a common-garden rearing experiment using individuals from one of our three pairs of populations provide evidence that trait differences between urban and natural sites may be genetically based. Taken together, our data suggest that anoles in urban areas are under significant differential natural selection and may be evolutionarily adapting to their human-modified environments.

Results From the United States of America’s 2016 Report Card on Physical Activity for Children and Youth

Abstract: Background:The 2016 United States (U.S.) Report Card on Physical Activity for Children and Youth provides a comprehensive evaluation of physical activity levels and factors influencing physical activity among children and youth.Methods:The report card includes 10 indicators: Overall Physical Activity, Sedentary Behavior, Active Transportation, Organized Sport Participation, Active Play, Health-related Fitness, Family and Peers, School, Community and the Built Environment, and Government Strategies and Investments. Nationally representative data were used to evaluate the indicators using a standard grading rubric.Results:Sufficient data were available to assign grades to 7 of the indicators, and these ranged from B- for Community and the Built Environment to F for Active Transportation. Overall Physical Activity received a grade of D- due to the low prevalence of meeting physical activity guidelines. A grade of D was assigned to Health-related Fitness, reflecting the low prevalence of meeting cardiorespira...

A qualitative meta-analysis examining clients' experiences of psychotherapy: A new agenda.

Abstract: This article argues that psychotherapy practitioners and researchers should be informed by the substantive body of qualitative evidence that has been gathered to represent clients' own experiences of therapy. The current meta-analysis examined qualitative research studies analyzing clients' experiences within adult individual psychotherapy that appeared in English-language journals. This omnibus review integrates research from across psychotherapy approaches and qualitative methods, focusing on the cross-cutting question of how clients experience therapy. It utilized an innovative method in which 67 studies were subjected to a grounded theory meta-analysis in order to develop a hierarchy of data and then 42 additional studies were added into this hierarchy using a content meta-analytic method-summing to 109 studies in total. Findings highlight the critical psychotherapy experiences for clients, based upon robust findings across these research studies. Process-focused principles for practice are generated that can enrich therapists' understanding of their clients in key clinical decision-making moments. Based upon these findings, an agenda is suggested in which research is directed toward heightening therapists' understanding of clients and recognizing them as agents of change within sessions, supporting the client as self-healer paradigm. This research aims to improve therapists' sensitivity to clients' experiences and thus can expand therapists' attunement and intentionality in shaping interventions in accordance with whichever theoretical orientation is in use. The article advocates for the full integration of the qualitative literature in psychotherapy research in which variables are conceptualized in reference to an understanding of clients' experiences in sessions. (PsycINFO Database Record

Scaling-Up Quantum Heat Engines Efficiently via Shortcuts to Adiabaticity

Abstract: The finite-time operation of a quantum heat engine that uses a single particle as a working medium generally increases the output power at the expense of inducing friction that lowers the cycle efficiency. We propose to scale up a quantum heat engine utilizing a many-particle working medium in combination with the use of shortcuts to adiabaticity to boost the nonadiabatic performance by eliminating quantum friction and reducing the cycle time. To this end, we first analyze the finite-time thermodynamics of a quantum Otto cycle implemented with a quantum fluid confined in a time-dependent harmonic trap. We show that nonadiabatic effects can be controlled and tailored to match the adiabatic performance using a variety of shortcuts to adiabaticity. As a result, the nonadiabatic dynamics of the scaled-up many-particle quantum heat engine exhibits no friction, and the cycle can be run at maximum efficiency with a tunable output power. We demonstrate our results with a working medium consisting of particles with inverse-square pairwise interactions that includes non-interacting and hard-core bosons as limiting cases.

Quantum supremacy of many-particle thermal machines

Abstract: While the emergent field of quantum thermodynamics has the potential to impact energy science, the performance of thermal machines is often classical. We ask whether quantum effects can boost the performance of a thermal machine to reach quantum supremacy, i.e., surpassing both the efficiency and power achieved in classical thermodynamics. To this end, we introduce a nonadiabatic quantum heat engine operating an Otto cycle with a many-particle working medium, consisting of an interacting Bose gas confined in a time-dependent harmonic trap. It is shown that thanks to the interplay of nonadiabatic and many-particle quantum effects, this thermal machine can outperform an ensemble of single-particle heat engines with same resources, demonstrating the quantum supremacy of many-particle thermal machines.

Critical Analysis of the Melanogenic Pathway in Insects and Higher Animals

Abstract: Animals synthesize melanin pigments for the coloration of their skin and use it for their protection from harmful solar radiation. Insects use melanins even more ingeniously than mammals and employ them for exoskeletal pigmentation, cuticular hardening, wound healing and innate immune responses. In this review, we discuss the biochemistry of melanogenesis process occurring in higher animals and insects. A special attention is given to number of aspects that are not previously brought to light: (1) the molecular mechanism of dopachrome conversion that leads to the production of two different dihydroxyindoles; (2) the role of catecholamine derivatives other than dopa in melanin production in animals; (3) the critical parts played by various biosynthetic enzymes associated with insect melanogenesis; and (4) the presence of a number of important gaps in both melanogenic and sclerotinogenic pathways. Additionally, importance of the melanogenic process in insect physiology especially in the sclerotization of their exoskeleton, wound healing reactions and innate immune responses is highlighted. The comparative biochemistry of melanization with sclerotization is also discussed.

Effects of sea ice cover on satellite-detected primary production in the Arctic Ocean

Abstract: The influence of decreasing Arctic sea ice on net primary production (NPP) in the Arctic Ocean has been considered in multiple publications but is not well constrained owing to the potentially large errors in satellite algorithms. In particular, the Arctic Ocean is rich in coloured dissolved organic matter (CDOM) that interferes in the detection of chlorophyll a concentration of the standard algorithm, which is the primary input to NPP models. We used the quasi-analytic algorithm (Lee et al . 2002 Appl. Opti. 41 , 5755−5772. ([doi:10.1364/AO.41.005755][1])) that separates absorption by phytoplankton from absorption by CDOM and detrital matter. We merged satellite data from multiple satellite sensors and created a 19 year time series (1997–2015) of NPP. During this period, both the estimated annual total and the summer monthly maximum pan-Arctic NPP increased by about 47%. Positive monthly anomalies in NPP are highly correlated with positive anomalies in open water area during the summer months. Following the earlier ice retreat, the start of the high-productivity season has become earlier, e.g. at a mean rate of −3.0 d yr−1 in the northern Barents Sea, and the length of the high-productivity period has increased from 15 days in 1998 to 62 days in 2015. While in some areas, the termination of the productive season has been extended, owing to delayed ice formation, the termination has also become earlier in other areas, likely owing to limited nutrients. [1]: http://dx.doi.org/10.1364/AO.41.005755

Socioeconomic Status Across the Life Course and Cognitive Function Among Older Adults An Examination of the Latency, Pathways, and Accumulation Hypotheses

Abstract: Objective: This study investigated the relationship between life course socioeconomic status (SES) and cognitive function among older adults in the United States over a 12-year observation period. ...