bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact investments: a call for (re)orientation
Authors: Busch Timo , Bruce-Clark Peter , Derwall Jeroen , Eccles Robert , Hebb Tessa , Hoepner Andreas , Klein Christian , Krueger Philipp , Paetzold Falko , Scholtens Bert , Weber Olaf 
Published: January 2021

AbstractPractitioners and academics have been using different terms to describe investments in the sustainability context. The latest inflationary term is impact investments—investments that focus on real-world changes in terms of solving social challenges and/or mitigating ecological degradation. At the core of this definition is an emphasis on transformational changes. However, the term impact investment is often used interchangeably for any investment that incorporates environmental, social, and governance (ESG) aspects. In the latter instance, achieving transformational change is not the main purpose of such investments, which therefore carries the risk of impact washing (akin to “green washing”). To offer (re-)orientation from an academic perspective, we derive a new typology of sustainable investments. This typology delivers a precise definition of what impact investments are and what they should cover. As one central contribution, we propose distinguishing between impact-aligned investments and impact-generating investments. Based on these insights, we hope to lay the foundation for future research and debates in the field of impact investing by practitioners, policymakers, and academics alike.
A Prospective Economic Evaluation of Rapid Endovascular Therapy for Acute Ischemic Stroke
Authors: Sevick Laura K. , Demchuk Andrew M. , Shuaib Ashfaq , Smith Eric E. , Rempel Jeremy L. , Butcher Kenneth , Menon Bijoy K. , Jeerakathil Thomas , Kamal Noreen , Thornton John , Williams David , Poppe Alexandre Y. , Roy Daniel , Goyal Mayank , Hill Michael D. , Clement Fiona 
Published: January 2021

ABSTRACT:Background:During the Randomized Assessment of Rapid Endovascular Treatment (EVT) of Ischemic Stroke (ESCAPE) trial, patient-level micro-costing data were collected. We report a cost-effectiveness analysis of EVT, using ESCAPE trial data and Markov simulation, from a universal, single-payer system using a societal perspective over a patient’s lifetime.Methods:Primary data collection alongside the ESCAPE trial provided a 3-month trial-specific, non-model, based cost per quality-adjusted life year (QALY). A Markov model utilizing ongoing lifetime costs and life expectancy from the literature was built to simulate the cost per QALY adopting a lifetime horizon. Health states were defined using the modified Rankin Scale (mRS) scores. Uncertainty was explored using scenario analysis and probabilistic sensitivity analysis.Results:The 3-month trial-based analysis resulted in a cost per QALY of $201,243 of EVT compared to the best standard of care. In the model-based analysis, using a societal perspective and a lifetime horizon, EVT dominated the standard of care; EVT was both more effective and less costly than the standard of care (−$91). When the time horizon was shortened to 1 year, EVT remains cost savings compared to standard of care (∼$15,376 per QALY gained with EVT). However, if the estimate of clinical effectiveness is 4% less than that demonstrated in ESCAPE, EVT is no longer cost savings compared to standard of care.Conclusions:Results support the adoption of EVT as a treatment option for acute ischemic stroke, as the increase in costs associated with caring for EVT patients was recouped within the first year of stroke, and continued to provide cost savings over a patient’s lifetime.Clinical Trial Registration: NCT01778335
Highly efficient difference-frequency generation for mid-infrared pulses by passively synchronous seeding
Authors: Huang Kun , Wang Yinqi , Fang Jianan , Chen Huaixi , Xu Minghang , Hao Qiang , Yan Ming , Zeng Heping 
Published: January 2021

Abstract
We have proposed and experimentally demonstrated a novel scheme for efficient mid-infrared difference-frequency generation based on passively synchronized fiber lasers. The adoption of coincident seeding pulses in the nonlinear conversion process could substantially lower the pumping threshold for mid-infrared parametric emission. Consequently, a picosecond mid-infrared source at 3.1 μm was prepared with watt-level average power, and a maximum power conversion efficiency of 77% was realized from pump to down-converted light. Additionally, the long-term stability of generated power was manifested with a relative fluctuation as low as 0.17% over one hour. Thanks to the all-optical passive synchronization and all-polarization-maintaining fiber architecture, the implemented laser system was also featured with simplicity, compactness and robustness, which would favor subsequent applications beyond laboratory operation.
Development and evaluation of image-series for portion size estimation in dietary assessment among adults
Authors: Salvesen Lorentz , Engeset Dagrun , Øverby Nina C. , Medin Anine C. 
Published: January 2021

AbstractPortion size images are advantageous in dietary assessment. The aim of the present study was to develop and validate new culturally specific image-series for portion size estimation to be used in a new Norwegian version of a British web-based dietary assessment tool (myfood24). Twenty-three image-series of different foods, each containing seven portion size images, were created and validated in a group of adults (n41, 58 % female) aged 19–44 (median 23), out of which 63 % had higher (tertiary) education. The participants compared 46 portions of pre-weighed foods to the portion size images (1886 comparisons in total). Portion size estimations were either classified as correct, adjacent or misclassified. The weight discrepancy in percentage between the chosen and the correct portion size image was also calculated. Mann–WhitneyUtests were used to explore if portion size estimation accuracy differed across sample characteristics, or if it depended on how the foods were presented. For thirty-eight of the forty-six presented food items, the participants selected the correct or adjacent portion size image 98 % on average. The remaining eight food items were on average misclassified by 27 % of the participants. Overall, a mean weight discrepancy of 2⋅5 % was observed between the chosen and the correct portion size images. Females estimated portion size more accurately than males (P= 0⋅019). No other significant differences in estimation accuracy were observed. In conclusion, the new image-series performed satisfactorily, except for the image-series depicting bread, caviar spread and marzipan cake, which will be altered. The present study demonstrates the importance of validating portion size estimation tools.
Justice: The Racial Motive We All Have and Need
Authors: Wilson David C. 
Published: January 2021

AbstractThis essay posits that justice is the core value epitomizing our moment. Justice is violated when positive outcomes are undeserved, and the felt sense of injustice motivates a need for retribution. Because politics involves allocation (distribution and redistribution), deservingness is a core appraisal of “who gets what” and therefore justice is fundamental for politics. This is especially germane to race, ethnicity, and politics scholars. I present a few core tenets of justice theory, and argue that political science can take advantage of the moment to engage the concept of justice; especially as it relates to the study of racial attitudes and the identification of racial enablers—those ostensible non-racists who facilitate the status quo. Summarily, I propose that justice can unify debates over prejudice and politics, and advance our scholarly understanding of how well-intentioned people—regardless of their identities, or ideological or partisan labels—can facilitate racism, racial inequality, and injustice.
Racialized Anti-Statism and the Failure of the American State
Authors: Miller Lisa L. 
Published: January 2021

AbstractHow well do we understand the political moment in which we find ourselves in the wake of the Trump presidency? The United States has long failed to keep up with its democratic peers on a wide range of social outcomes but the struggle to keep a pandemic at bay, coupled with increases in social violence and new uprisings over state violence have exposed the failures of the American state in a stark manner. While research on political attitudes continues to offer crucial insights into what Americans want from government and how race, class, and gender are formative dimensions of public opinion, we know considerably less about how these attitudes intersect with the highly fragmented and decentralized nature of U.S. political institutions. In this essay, I offer a framework for understanding our current moment through the lens of racialized anti-statism and state failure. I focus on the intersection of two reinforcing and overlapping features of the U.S. political system: the highly fragmented, veto-laden structure of American politics and the persistence of anti-egalitarian movements. By situating our analysis at this intersection, we observe the convergence of racial and economic power in an anti-statist alliance that undermines American state-building, even when large majorities of Americans favor it.
Direct and spillover impacts of community-based seed production: Quasi-experimental evidence from Nepal
Authors: Gautam Shriniwas , Rahut Dil Bahadur , Erenstein Olaf , KC Dilli Bahadur 
Published: January 2021

SummaryMaize production is central to rural livelihoods in the hills of Nepal. Access to affordable improved maize seed has long been a barrier to productivity gains and livelihood improvement. This study evaluates the direct and indirect (spillover) impacts of a community-based seed production program in Nepal using a quasi-experimental method for selected outcome indicators. Our results show that community-based seed production provides a significant positive direct impact on maize income and female leadership opportunities. The impacts were particularly favorable for disadvantaged households (HHs) from lower castes and HHs that owned less land. There is also strong evidence of spillover impacts on improved seed adoption, yield, and household maize self-sufficiency. Community-based seed production thereby could help Nepal attain cereal self-sufficiency and nutritional security as envisioned in the national agricultural development strategy and seed vision.
Seasonal variation of water-column light utilization efficiency for primary production in Saroma-ko Lagoon
Authors: Shiomoto Akihiro , Kamuro Yushi 
Published: January 2021

AbstractIn Saroma-ko Lagoon, where scallop aquaculture is a thriving commercial activity, monitoring primary production is essential for determining the amount of scallops that can be farmed. Using the primary production data obtained so far, we calculated Ψ, an index of water-column light utilization efficiency, and clarified its seasonal variation. Ψ tended to be lower in the spring bloom season (February–April), and higher in the late autumn to winter (October–December). Low chlorophyll-normalized production, an index of growth rate, resulted in lower values, while low daily irradiance resulted in higher values. The values of Ψ from our study had a range of 0.05–1.42 gC gChl-a−1 mol photons−1 m2 (N = 56). These values were within the previously reported range of 0.07–1.92 (gC gChl-a−1 mol photons−1 m2) for seawater and fresh water worldwide. Therefore, it is likely that Ψ varies from 0.05–2 gC gChl-a−1 mol photons−1 m2, being affected by conditions of phytoplankton growth and sunlight intensity, regardless of whether samples are collected from seawater or fresh water. Using the median Ψ value of 0.45 gC gChl-a−1 mol photons−1 m2 obtained in this study, primary production was 0.3–3.5 times the actual production at Saroma-ko Lagoon. Using this method, primary production can be easily and constantly monitored, facilitating the sustainable development of scallop aquaculture.
Ecological momentary facial emotion recognition in psychotic disorders
Authors: Depp Colin A. , Kamarsu Snigdha , Filip Tess F. , Parrish Emma M. , Harvey Philip D. , Granholm Eric L. , Chalker Samantha , Moore Raeanne C. , Pinkham Amy 
Published: January 2021

AbstractBackgroundCognitive tasks delivered during ecological momentary assessment (EMA) may elucidate the short-term dynamics and contextual influences on cognition and judgements of performance. This paper provides initial validation of a smartphone task of facial emotion recognition in serious mental illness.MethodsA total of 86 participants with psychotic disorders (non-affective and affective psychosis), aged 19–65, were administered in-lab ‘gold standard’ affect recognition, neurocognition, and symptom assessments. They subsequently completed 10 days of the mobile facial emotion recognition task, assessing both accuracy and self-assessed performance, along with concurrent EMA of psychotic symptoms and mood. Validation focused on task adherence and predictors of adherence, gold standard convergent validity, and symptom and diagnostic group variation.ResultsThe mean rate of adherence to the task was 79%; no demographic or clinical variables predicted adherence. Convergent validity was observed with in-lab measures of facial emotion recognition, and no practice effects were observed on the mobile facial emotion recognition task. EMA reports of more severe voices, sadness, and paranoia were associated with worse performance, whereas mood more strongly associated with self-assessed performance.ConclusionThe mobile facial emotion recognition task was tolerated and demonstrated convergent validity with in-lab measures of the same construct. Social cognitive performance, and biased judgements previously shown to predict function, can be evaluated in real-time in naturalistic environments.
Development of a probability calculator for psychosis risk in children, adolescents, and young adults
Authors: Moore Tyler M. , Calkins Monica E. , Rosen Adon F. G. , Butler Ellyn R. , Ruparel Kosha , Fusar-Poli Paolo , Koutsouleris Nikolaos , McGuire Philip , Cannon Tyrone D. , Gur Ruben C. , Gur Raquel E. 
Published: January 2021

AbstractBackgroundAssessment of risks of illnesses has been an important part of medicine for decades. We now have hundreds of ‘risk calculators’ for illnesses, including brain disorders, and these calculators are continually improving as more diverse measures are collected on larger samples.MethodsWe first replicated an existing psychosis risk calculator and then used our own sample to develop a similar calculator for use in recruiting ‘psychosis risk’ enriched community samples. We assessed 632 participants age 8–21 (52% female; 48% Black) from a community sample with longitudinal data on neurocognitive, clinical, medical, and environmental variables. We used this information to predict psychosis spectrum (PS) status in the future. We selected variables based on lasso, random forest, and statistical inference relief; and predicted future PS using ridge regression, random forest, and support vector machines.ResultsCross-validated prediction diagnostics were obtained by building and testing models in randomly selected sub-samples of the data, resulting in a distribution of the diagnostics; we report the mean. The strongest predictors of later PS status were the Children's Global Assessment Scale; delusions of predicting the future or having one's thoughts/actions controlled; and the percent married in one's neighborhood. Random forest followed by ridge regression was most accurate, with a cross-validated area under the curve (AUC) of 0.67. Adjustment of the model including only six variables reached an AUC of 0.70.ConclusionsResults support the potential application of risk calculators for screening and identification of at-risk community youth in prospective investigations of developmental trajectories of the PS.
Maternal mental health during the COVID-19 lockdown in China, Italy, and the Netherlands: a cross-validation study
Authors: Guo Jing , De Carli Pietro , Lodder Paul , Bakermans-Kranenburg Marian J. , Riem Madelon M. E. 
Published: January 2021

AbstractBackgroundThe coronavirus disease 2019 (COVID-19) pandemic had brought negative consequences and new stressors to mothers. The current study aims to compare factors predicting maternal mental health during the COVID-19 lockdown in China, Italy, and the Netherlands.MethodsThe sample consisted of 900 Dutch, 641 Italian, and 922 Chinese mothers (age M = 36.74, s.d. = 5.58) who completed an online questionnaire during the lockdown. Ten-fold cross-validation models were applied to explore the predictive performance of related factors for maternal mental health, and also to test similarities and differences between the countries.ResultsCOVID-19-related stress and family conflict are risk factors and resilience is a protective factor in association with maternal mental health in each country. Despite these shared factors, unique best models were identified for each of the three countries. In Italy, maternal age and poor physical health were related to more mental health symptoms, while in the Netherlands maternal high education and unemployment were associated with mental health symptoms. In China, having more than one child, being married, and grandparental support for mothers were important protective factors lowering the risk for mental health symptoms. Moreover, high SES (mother's high education, high family income) and poor physical health were found to relate to high levels of mental health symptoms among Chinese mothers.ConclusionsThese findings are important for the identification of at-risk mothers and the development of mental health promotion programs during COVID-19 and future pandemics.
Pragmatic ordering: Informality, experimentation, and the maritime security agenda
Authors: Bueger Christian , Edmunds Timothy 
Published: January 2021

AbstractThe question of when and how international orders change remains a pertinent issue of International Relations theory. This article develops the model of pragmatic ordering to conceptualise change. The model of pragmatic ordering synthesises recent theoretical arguments for a focus on ordering advanced in-practice theory, pragmatist philosophy, and related approaches. It also integrates evidence from recent global governance research. We propose a five-stage model. According to the model, once a new problem emerges (problematisation), informality allows for experimenting with new practices and developing new knowledge (informalisation and experimentation). Once these experimental practices become codified, and survive contestation, they increasingly settle (codification) and are spread through learning and translation processes (consolidation). We draw on the rise of the maritime security agenda as a paradigmatic case and examine developments in the Western Indian Ocean region to illustrate each of these stages. The article draws attention to the substantial reorganisation of maritime space occurring over the past decade and offers an innovative approach for the study of orders and change.
Dynamic Modeling and Control of a Novel One-Legged Hopping Robot
Authors: Khakpour Komarsofla Amin , Azadi Yazdi Ehsan , Eghtesad Mohammad 
Published: January 2021

SUMMARYIn this article, a novel mechanism for planar one-legged hopping robots is proposed. The robot consists of a flat foot which is pinned to the leg and a reciprocating mass which is connected to the leg via a prismatic joint. The proposed mechanism performs the hopping by transferring linear momentum between the reciprocating mass and its main body. The nonlinear equations of the motion of the robot are derived using the Euler–Lagrange equations. To accomplish a stable jump, appropriate trajectories have been planned. To guarantee a stable response for this nonlinear system, a sliding-mode controller is implemented. The performance of the hopping robot is investigated through numerical simulations. The results confirm the stability of the hopping robot through the jump cycle on a flat surface and in climbing up and down ramp and stairs.
Strengthening patient outcome evidence in health technology assessment: a coproduction approach
Authors: Rasburn Mark , Livingstone Heidi , Scott Sarah E. 
Published: January 2021

Abstract
The National Institute for Health and Care Excellence (NICE) worked with patients and staff from six patient organizations to review existing health technology assessment (HTA) methods and coproduce proposals to improve the following: patient involvement, how patient evidence is identified and considered by committees, and the support offered to patient stakeholders. This engagement identified important factors that HTA bodies need to understand to enable meaningful patient and public involvement (PPI), such as having clearly documented processes, appropriate evidence submission processes, transparent decisions, and suitable support. This work demonstrated the benefits of HTA bodies working collaboratively with patient stakeholders to improve PPI. By doing so, HTA bodies can increase their knowledge and understanding of the barriers faced by patient stakeholders to develop appropriate solutions to remove them. The coproduction approach improved stakeholder engagement methods, provided a better analysis of data, supported the development of meaningful conclusions, and improved stakeholder relationships.
Impact of PD-1 gene polymorphism and its interaction with tea drinking on susceptibility to tuberculosis
Authors: Wang Jing , Wang Mian , Li Zihao , Wu Xinyin , Zhang Xian , Julius Abesig , Zhong Hua , Huang Xin , Chen Mengshi , Tan Hongzhuan , Yi Hengzhong 
Published: January 2021

Abstract
The aim of this study was to explore the impact of polymorphism of PD-1 gene and its interaction with tea drinking on susceptibility to tuberculosis (TB). A total of 503 patients with TB and 494 controls were enrolled in this case–control study. Three single-nucleotide polymorphisms of PD-1 (rs7568402, rs2227982 and rs36084323) were genotyped and unconditional logistic regression analysis was used to identify the association between PD-1 polymorphism and TB, while marginal structural linear odds models were used to estimate the interactions. Genotypes GA (OR 1.434), AA (OR 1.891) and GA + AA (OR 1.493) at rs7568402 were more prevalent in the TB patients than in the controls (P < 0.05). The relative excess risk of interaction (RERI) between rs7568402 of PD-1 genes and tea drinking was −0.3856 (95% confidence interval −0.7920 to −0.0209, P < 0.05), which showed a negative interaction. However, the RERIs between tea drinking and both rs2227982 and rs36084323 of PD-1 genes were not statistically significant. Our data demonstrate that rs7568402 of PD-1 genes was associated with susceptibility to TB, and there was a significant negative interaction between rs7568402 and tea drinking. Therefore, preventive measures through promoting the consumption of tea should be emphasised in the high-risk populations.