Huffroberson0030

Are green goals and eco-sensitivity manifestations of delusional human exceptionalism? In this paper I grapple with the question of why/if humans should/must address environmental issues (both local and global) created or exacerbated by human activity. This question can be framed in terms of (a) whether human activity is as natural as that of other organisms and carries with it similar responsibilities, and (b) whether our activity, natural or not, matters in the very long term. It is a consideration of our responsibilities to ourselves, future generations, other organisms, and the earth itself. The recently published A Book of Ecological Virtues Living Well in the Anthropocene is explored as it challenges the author of this article to confront these issues and their bearing on his and others' behaviors and actions vis à vis the earth and its inhabitants. (Inuktitut translation generously provided by Brenda Amakłak Putulik).

This study aimed to identify historical developments, active research areas, and emerging trends within scientific literature on mindfulness published so far, using bibliometric methods. We also aimed to identify prominent journals, authors, organizations, and countries in the field of mindfulness.

Articles or reviews which mention mindfulness in the title, abstract, or keywords were identified using the Web of Science. A descriptive summary of the literature was obtained from the Web of Science Analysis tool. Country collaboration, co-authorship, and keyword co-occurrence networks were visualized using VOSviewer. CiteSpace, which uses document co-citation analysis, was used to identify emerging trends and transient patterns in the literature.

From 1966 to 2021, 16,581 publications on mindfulness were identified. There has been an exponential growth of publications since 2006. Almost half (47%) of the publications were in psychology and about one-fifth (20.8%) in psychiatry. The most prolific journal was

(contributing 7% of all publications) and the most prolific author was Eric L. Garland. The vast majority of publications originated from Western countries but representation from Asian countries has increased. The most frequently co-occurring keywords were

,

,

, and

Co-citation analysis of the early period (1966-2015) revealed how scholarly work on spiritual themes has inspired early mindfulness research. Recent trends (2016-2021) revealed a rising interest in mechanisms and moderators, long-term meditation, neuroscientific studies, and smartphone/online delivery of interventions.

This comprehensive bibliometric study summarized and visualized 55years of mindfulness research, revealing pivotal points, active research areas, and emerging trends.

This comprehensive bibliometric study summarized and visualized 55 years of mindfulness research, revealing pivotal points, active research areas, and emerging trends.

Latinx college students are at high risk of suffering from depressive symptoms. A factor posited to influence depressive symptoms among Latinx college students is racial/ethnic discrimination. However, the

which link racial/ethnic discrimination to depressive symptoms are not well understood. This study examined the mediating role of racism-related vigilance and sleep-related factors (i.e., sleep quality, sleep efficiency) on the relationship between perceived intergroup racial/ethnic discrimination and depressive symptoms.

Participants were 194 Latinx college students enrolled at a Midwestern university designated as a Hispanic-Serving Institution. Path analysis was conducted to investigate whether racism-related vigilance and sleep-related factors (i.e. sleep quality, sleep efficiency) are potential pathways in the relationship between intergroup racial/ethnic discrimination and depressive symptoms.

Path analysis revealed that racism-related vigilance and sleep quality sequentially mediated the effect of perceived intergroup racial/ethnic discrimination on depressive symptoms. Sleep efficiency did not mediate the relationship between racial/ethnic discrimination and depressive symptoms.

This study is among the first to document that intergroup racial/ethnic discrimination is negatively related to mental health through both cognitive and behavioral mechanisms. This research has important implications for understanding how discrimination may influence mental health outcomes among Latinx college students.

This study is among the first to document that intergroup racial/ethnic discrimination is negatively related to mental health through both cognitive and behavioral mechanisms. This research has important implications for understanding how discrimination may influence mental health outcomes among Latinx college students.According to the psychological literature, implicit motives allow for the characterization of behavior, subsequent success, and long-term development. Contrary to personality traits, implicit motives are often deemed to be rather stable personality characteristics. Normally, implicit motives are obtained by Operant Motives, unconscious intrinsic desires measured by the Operant Motive Test (OMT). The OMT test requires participants to write freely descriptions associated with a set of provided images and questions. In this work, we explore different recent machine learning techniques and various text representation techniques for facing the problem of the OMT classification task. We focused on advanced language representations (e.g, BERT, XLM, and DistilBERT) and deep Supervised Autoencoders for solving the OMT task. We performed an exhaustive analysis and compared their performance against fully connected neural networks and traditional support vector classifiers. Our comparative study highlights the importancch on the implicit psychometrics theory.Patients infected with the COVID-19 virus develop severe pneumonia, which generally leads to death. Radiological evidence has demonstrated that the disease causes interstitial involvement in the lungs and lung opacities, as well as bilateral ground-glass opacities and patchy opacities. In this study, new pipeline suggestions are presented, and their performance is tested to decrease the number of false-negative (FN), false-positive (FP), and total misclassified images (FN + FP) in the diagnosis of COVID-19 (COVID-19/non-COVID-19 and COVID-19 pneumonia/other pneumonia) from CT lung images. A total of 4320 CT lung images, of which 2554 were related to COVID-19 and 1766 to non-COVID-19, were used for the test procedures in COVID-19 and non-COVID-19 classifications. Similarly, a total of 3801 CT lung images, of which 2554 were related to COVID-19 pneumonia and 1247 to other pneumonia, were used for the test procedures in COVID-19 pneumonia and other pneumonia classifications. A 24-layer convolutional neural netwopeline approaches, the values were 0.9915, 0.8140, 0.9071, 0.9327, and 0.9615, respectively. The results of this study show that classification success can be increased by reducing the time to obtain per-image results through using the proposed pipeline approaches.A more holistic understanding of land use and land cover (LULC) will help minimise trade-offs and maximise synergies, and lead to improved future land use management strategies for the attainment of Sustainable Development Goals (SDGs). However, current assessments of future LULC changes rarely focus on the multiple demands for goods and services, which are related to the synergies and trade-offs between SDGs and their targets. In this study, the land system (combinations of land cover and land use intensity) evolution trajectories of the Luanhe River Basin (LRB), China, and major challenges that the LRB may face in 2030, were explored by applying the CLUMondo and InVEST models. The results indicate that the LRB is likely to experience agricultural intensification and urban growth under all four scenarios that were explored. The cropland intensity and the urban growth rate were much higher under the historical trend (Trend) scenario compared to those with more planning interventions (Expansion, Sustainability, and Conservation scenarios). Unless the forest area and biodiversity conservation targets are implemented (Conservation scenario), the forest areas are projected to decrease by 2030. The results indicate that water scarcity in the LRB is likely to increase under all scenarios, and the carbon storage will increase under the Conservation scenario but decrease under all other scenarios by 2030. selleck chemicals llc Our methodological framework and findings can guide regional sustainable development in the LRB and other large river basins in China, and will be valuable for policy and planning purposes to the pursuance of SDGs at the sub-national scale.

The online version contains supplementary material available at 10.1007/s11625-021-01004-y.

The online version contains supplementary material available at 10.1007/s11625-021-01004-y.Smoking-related diseases (e.g., lung cancer) are the leading cause of mortality in HIV-infected patients. While many PLWH who smoke report a desire to quit, a majority of them have low readiness to quit. This study used logistic and linear regression to examine the relations among two (continuous vs. binary) measures of readiness to quit, smoking cessation self-efficacy (SE), quality of life (QoL), and perceived vulnerability (PV) using baseline data from 100 PLWH who smoke who participated in a clinical trial. Results showed no significant main effects (SE, QoL, and PV) or interaction effects (SE × QoL and SE × PV) on a continuous measure of readiness to quit. However, a follow-up analysis revealed that SE had a curvilinear effect on readiness to quit such that self-efficacy was positively associated with readiness to quit except at the highest levels of self-efficacy where readiness to quit declined. Greater SE significantly increased the likelihood of reporting readiness to quit (yes/no) among those with low QoL or high PV. For PLWH who smoke, improving self-efficacy may increase readiness to quit especially among those with lower quality of life. Psychoeducation tailored to PLWH designed to reduce unrealistic invulnerability to smoking-related diseases along with interventions that target self-efficacy may improve readiness to quit.

Activities promoting research reproducibility and transparency are crucial for generating trustworthy evidence. Evaluation of smoking interventions is one area where vested interests may motivate reduced reproducibility and transparency.

Assess markers of transparency and reproducibility in smoking behaviour change intervention evaluation reports.

One hundred evaluation reports of smoking behaviour change intervention randomised controlled trials published in 2018-2019 were identified. Reproducibility markers of pre-registration; protocol sharing; data, material, and analysis script sharing; replication of a previous study; and open access publication were coded in identified reports. Transparency markers of funding and conflict of interest declarations were also coded. Coding was performed by two researchers, with inter-rater reliability calculated using Krippendorff's alpha.

Seventy-one percent of reports were open access, and 73% were pre-registered. However, there are only 13% provided accessible materials, 7% accessible data, and 1% accessible analysis scripts.