Materials Challenges in the Electric Vehicle Transition.

The ongoing transition toward electric vehicles (EVs) is changing materials used for vehicle production, of which the consequences for the environmental performance of EVs are not well understood and managed. We demonstrate that electrification coupled with lightweighting of automobiles will lead to significant changes in the industry's demand not only for battery materials but also for other materials used throughout the entire vehicle. Given the automotive industry's substantial consumption of raw materials, changes in its material demands are expected to trigger volatilities in material prices, consequently impacting the material composition and attractiveness of EVs. In addition, the materials recovered during end-of-life recycling of EVs as the vehicle fleet turns over will impact recycled material supplies both positively and negatively, impacting material availabilities and the economic incentive to engage in recycling. These supply chain impacts will influence material usage and the associated environmental performance of not only the automotive sector but also other metal-heavy industries such as construction. In light of these challenges, we propose the need for new research to understand the dynamic materials impacts of the EV transition that encompasses its implications on EV adoption and fleet life cycle environmental performance. Effectively coordinating the coevolution of material supply chains is crucial for making the sustainable transition to EVs a reality.

Targeted therapies in ameloblastomas and amelobastic carcinoma-A systematic review.

Targeted therapy has the potential to be used in the neoadjuvant setting for odontogenic tumors, reducing the morbidities associated with major surgery. In this regard, the aim of this study was to summarize the current evidence on the different forms of targeted therapy, effectiveness, and drawbacks of this course of treatment. Four databases were searched electronically without regard to publication date or language. Grey literature searches and manual searches were also undertaken. Publications with sufficient clinical data on targeted therapy for odontogenic tumors were required to meet the criteria for eligibility. The analysis of the data was descriptive. A total of 15 papers comprising 17 cases (15 ameloblastomas and 2 ameloblastic carcinomas) were included. Numerous mutations were found, with BRAF V600E being most common. Dabrafenib was the most utilized drug in targeted therapy. Except for one case, the treatment reduced the size of the lesion (16/17 cases), showing promise. Most of the adverse events recorded were mild, such as skin issues, voice changes, abnormal hair texture, dry eyes, and systemic symptoms (e.g., fatigue, joint pain, and nausea). It is possible to reach the conclusion that targeted therapy for ameloblastoma and ameloblastic carcinoma may be a useful treatment strategy, based on the findings of the included studies.

Perspectives on the timing of ecosystem collapse in a changing climate.

Climate change is one of the most important drivers of ecosystem change, the global-scale impacts of which will intensify over the next 2 decades. Estimating the timing of unprecedented changes is not only challenging but is of great importance for the development of ecosystem conservation guidelines. Time of emergence (ToE) (point at which climate change can be differentiated from a previous climate), a widely applied concept in climatology studies, provides a robust but unexplored approach for assessing the risk of ecosystem collapse, as described by the C criterion of the International Union for Conservation of Nature's Red List of Ecosystems (RLE). We identified 3 main theoretical considerations of ToE for RLE assessment (degree of stability, multifactorial instead of one-dimensional analyses, and hallmarks of ecosystem collapse) and 4 sources of uncertainty when applying ToE methodology (intermodel spread, historical reference period, consensus among variables, and consideration of different scenarios), which aims to avoid misuse and errors while promoting a proper application of the framework by scientists and practitioners. The incorporation of ToE for the RLE assessments adds important information for conservation priority setting that allows prediction of changes within and beyond the time frames proposed by the RLE.

Perspectivas sobre el momento del colapso ecosistémico en un clima cambiante Resumen El cambio climático es uno de los principales causantes del cambio ecosistémico, cuyo impacto a escala global se intensificará en las próximas dos décadas. No sólo es un reto estimar el momento de los cambios sin precedentes, sino también es de gran importancia para el desarrollo de las directrices de conservación de los ecosistemas. El momento de aparición (MdA), el punto en el que el cambio climático puede diferenciarse de un clima previo; es un concepto de aplicación extensa en los estudios de climatología y proporciona una estrategia sólida pero poco explorada para evaluar el riesgo del colapso ecosistémico, como está descrito por el criterio C de la Lista Roja de Ecosistemas (LRE) de la Unión Internacional para la Conservación de la Naturaleza. Identificamos las tres consideraciones teóricas del MdA para la evaluación de la LRE (grado de estabilidad, análisis multifactoriales en vez de unidimensionales y distintivos del colapso ecosistémico) y cuatro fuentes de incertidumbre cuando se aplica la metodología MdA (difusión intermodelo, periodo de referencia histórica, consenso entre las variables y consideración de escenarios distintos), la cual busca evitar el mal uso y los errores mientras se promueve una aplicación adecuada del marco de los científicos y lo practicantes. La incorporación del MdA a las evaluaciones de la LRE añade información importante para el establecimiento de prioridades de conservación que permiten la predicción de cambios dentro y más allá del marco temporal propuesto por la LRE.

Roles of the Red List of Ecosystems in the Kunming-Montreal Global Biodiversity Framework.

The Kunming-Montreal Global Biodiversity Framework (GBF) of the UN Convention on Biological Diversity set the agenda for global aspirations and action to reverse biodiversity loss. The GBF includes an explicit goal for maintaining and restoring biodiversity, encompassing ecosystems, species and genetic diversity (goal A), targets for ecosystem protection and restoration and headline indicators to track progress and guide action1. One of the headline indicators is the Red List of Ecosystems2, the global standard for ecosystem risk assessment. The Red List of Ecosystems provides a systematic framework for collating, analysing and synthesizing data on ecosystems, including their distribution, integrity and risk of collapse3. Here, we examine how it can contribute to implementing the GBF, as well as monitoring progress. We find that the Red List of Ecosystems provides common theory and practical data, while fostering collaboration, cross-sector cooperation and knowledge sharing, with important roles in 16 of the 23 targets. In particular, ecosystem maps, descriptions and risk categories are key to spatial planning for halting loss, restoration and protection (targets 1, 2 and 3). The Red List of Ecosystems is therefore well-placed to aid Parties to the GBF as they assess, plan and act to achieve the targets and goals. We outline future work to further strengthen this potential and improve biodiversity outcomes, including expanding spatial coverage of Red List of Ecosystems assessments and partnerships between practitioners, policy-makers and scientists.

Impact of institutional interventions on the rate of paclitaxel hypersensitivity reactions.

PURPOSE: Paclitaxel is associated with hypersensitivity reactions (HSRs). Intravenous premedication regimens have been devised to decrease the incidence and severity of HSRs. At our institution oral histamine 1 receptor antagonists (H1RA) and histamine 2 receptor antagonists (H2RA) were adopted as standard. Standardizations were implemented for consistent premedication use in all disease states. The purpose of this retrospective study was to compare the incidence and severity of HSRs before and after standardization. METHODS: Patients who received paclitaxel from 20 April 2018 to 8 December 2020 having an HSR were included in analysis. An infusion was flagged for review if a rescue medication was administered after the start of the paclitaxel infusion. The incidences of all HSR prior to and post-standardization were compared. A subgroup analysis of patients receiving paclitaxel for the first and second time was performed. RESULTS: There were 3499infusions in the pre-standardization group and 1159infusions in the post-standardization group. After review, 100 HSRs pre-standardization and 38 HSRs post-standardization were confirmed reactions. The rate of overall HSRs was 2.9% in the pre-standardization group and 3.3% in the post-standardization group (p = 0.48). HSRs, during the first and second doses of paclitaxel, occurred in 10.2% of the pre-standardization and 8.5% of the post-standardization group (p = 0.55). CONCLUSIONS: This retrospective interventional study demonstrated that same-day intravenous dexamethasone, oral H1RA, and oral H2RA are safe premedication regimens for paclitaxel. No change in the severity of reactions was seen. Overall, better adherence to premedication administration was seen post-standardization.

Reported physical examination methods for screening of oral cancer and oral potentially malignant disorders: a systematic review.

OBJECTIVE: This systematic review aimed to describe the method followed during physical examination and the anatomical structures of the head and neck assessed in screening for oral cancer and oral potentially malignant disorders (OPMDs). STUDY DESIGN: An extensive literature search was carried out using MEDLINE/PubMed, EMBASE, Scopus, LILACS, Web of Science, Cochrane databases, and gray literature. The risk of bias was available in all papers included. RESULTS: Of 9,688 records identified, 27 were included in this review, reporting data from 356,250 individuals screened and distributed across 11 countries. Most of these (n = 19) were based on 1 round of screening conducted by a dental professional or other health care workers. Most screening programs included visual inspection and palpation of the lips, oral cavity, and the most visible oropharyngeal sites, but the descriptions reported were imprecise. Additional inspection and palpation of the neck (submental, submandibular, cervical, and supraclavicular regions) to assess for the presence of swellings and any palpable neck nodes were also performed in 15 programs. CONCLUSION: In conclusion, there was considerable heterogeneity in the method of physical examination in screening programs for oral cancer and OPMDs among the included studies.

Beyond central-tendency: If we agree discrete vegetation communities do not exist, should we investigate other methods of clustering?

Clustering is indispensable in the quest for robust vegetation classification schemes that aim to partition, summarise and communicate patterns. However, clustering solutions are sensitive to methods and data and are therefore unstable, a feature that is usually attributed to noise. Viewed through a central-tendency lens, noise is defined as the degree of departure from type, which is problematic since vegetation types are abstractions of continua, and so noise can only be quantified relative to the particular solution at hand. Graph theory models the structure of vegetation data based on the interconnectivity of samples. Through a graph-theoretic lens, the causes of instability can be quantified in absolute terms via the degree of connectivity among objects. We simulated incremental increases in sampling intensity in a dataset over five iterations and assessed classification stability across successive solutions derived using algorithms implementing, respectively, models of central-tendency and interconnectivity. We used logistic regression to model the likelihood of a sample changing groups between iterations as a function of distance to the centroid and degree of interconnectivity. Our results show that the degree to which samples are interconnected is a more powerful predictor of instability than the degree to which they deviate from their nearest centroid. The removal of weakly interconnected samples resulted in more stable classifications, although solutions with many clusters were apparently inherently less stable than those with few clusters, and improvements in stability flowing from the removal of outliers declined as the number of clusters increased. Our results reinforce the fact that clusters abstracted from continuous data are inherently unstable and that the quest for stable, fine-scale classifications from large regional datasets is illusory. Nevertheless, our results show that using models better suited to the analysis of continuous data may yield more stable classifications of the available data.

Association Between Pharmacotherapy and Sleep Quality in Patients with Chronic Orofacial and Chronic Body Pain: A Cross-Sectional Study.

Purpose: Sleep impairment is associated with many chronic pain disorders. While there is an association between chronic pain and sleep disturbances, little is known about the influence of pharmacotherapy for chronic pain conditions, particularly chronic opioid therapy, on sleep. This study aimed to 1) compare the sleep quality (SQ) in patients with two different pain conditions-chronic body pain and chronic orofacial pain; 2) assess the correlation of SQ and pain intensity; and 3) evaluate the association between pharmacotherapy and SQ. Patients and Methods: The Pittsburgh Sleep Quality Index (PSQI) was used to measure the SQ in subjects with 1) chronic body pain (n = 100) and 2) chronic orofacial pain (n = 100). The visual analogue scale was applied for pain intensity rating. All subjects were adults recruited at Massachusetts General Hospital, United States. The subjects' demographic data, pain intensity, diagnosis and concurrent use of medications were extracted from their electronic medical records (EMR). Statistical analyses were performed using T-test and Pearson correlation coefficient. Results: Among 200 subjects (mean age 51.01 ± 15.52 years), 141 (70.5%) were females. PSQI and pain intensity were statistically significantly different between the two groups (p < 0.05 and p < 0.0001, respectively) and higher in subjects with chronic body pain. There was a positive correlation between PSQI and pain intensity (chronic orofacial pain r = 0.3535, p = 0.0004; chronic body pain: r = 0.2247, p < 0.026). PSQI was higher in chronic orofacial pain subjects utilizing opioids and benzodiazepines (PSQI = 15.25). Conclusion: Chronic pain impairs SQ, which is noticeably worse in subjects with body pain conditions. In addition, pain intensity was correlated with poorer SQ, which in turn was linked to the concomitant use of opioid and benzodiazepine therapy in chronic orofacial pain.

Validity and reliability of a new clinician-rated tool for freezing of gait severity.

PURPOSE: The Freezing of Gait Severity Tool (FOG Tool) was developed because of limitations in existing assessments. This cross-sectional study investigated its validity and reliability. METHODS: People with Parkinson's disease (PD) were recruited consecutively from clinics. Those who could not walk eight-metres independently (with or without an assistive device), comprehend instructions, or with co-morbidities affecting walking were excluded. Participants completed a set of assessments including the FOG Tool, Timed Up and Go (TUG), and Freezing of Gait Questionnaire. The FOG Tool was repeated and those reporting no medication state change evaluated for test-retest reliability. Validity and reliability were investigated through Spearman's correlations and ICC (two-way, random). McNemar's test was applied to compare the FOG Tool and TUG on the proportion of people with freezing. RESULTS: Thirty-nine participants were recruited [79.5%(n = 31) male; Median(IQR): age-73.0(9.0) years; disease duration-4.0(5.8) years]. Fifteen (38.5%) contributed to test-retest reliability analyses. The FOG Tool demonstrated strongest associations with the Freezing of Gait Questionnaire (ρ = 0.67, 95%CI 0.43-0.83). Test-retest reliability was excellent (ICC = 0.96, 95%CI 0.88-0.99). The FOG Tool had 6.2 times the odds (95%CI 2.4-20.4, p < 0.001) of triggering freezing compared to the TUG. CONCLUSIONS: The FOG Tool appeared adequately valid and reliable in this small sample of people with PD. It was more successful in triggering freezing than the TUG.Implications for RehabilitationThe Freezing of Gait Severity Tool's assessment course is more effective than the commonly-used Timed Up and Go's assessment course for eliciting freezing of gait for clinical evaluation in people with Parkinson's disease.The Freezing of Gait Severity Tool can be considered for scoring freezing of gait severity in people with Parkinson's disease in the clinical setting.

Contributions of the IUCN Red List of Ecosystems to risk-based design and management of protected and conserved areas in Africa.

Protected and conserved areas (PCAs) are key ecosystem management tools for conserving biodiversity and sustaining ecosystem services and social cobenefits. As countries adopt a 30% target for protection of land and sea under the Global Biodiversity Framework of the United Nations Convention on Biological Diversity, a critical question emerging is, which 30%? A risk-based answer to this question is that the 30% that returns the greatest reductions in risks of species extinction and ecosystem collapse should be protected. The International Union for Conservation of Nature (IUCN) Red List protocols provide practical methods for assessing these risks. All species, including humans, depend on the integrity of ecosystems for their well-being and survival. Africa is strategically important for ecosystem management due to convergence of high ecosystem diversity, intense pressures, and high levels of human dependency on nature. We reviewed the outcomes (e.g., applications of ecosystem red-list assessments to protected-area design, conservation planning, and management) of a symposium at the inaugural African Protected Areas Congress convened to discuss roles of the IUCN Red List of Ecosystems in the design and management of PCAs. Recent progress was made in ecosystem assessment, with 920 ecosystem types assessed against the IUCN Red List criteria across 21 countries. Although these ecosystems spanned a diversity of environments across the continent, the greatest thematic gaps were for freshwater, marine, and subterranean realms, and large geographic gaps existed in North Africa and parts of West and East Africa. Assessment projects were implemented by a diverse community of government agencies, nongovernmental organizations, and researchers. The assessments have influenced policy and management by informing extensions to and management of formal protected area networks supporting decision-making for sustainable development, and informing ecosystem conservation and threat abatement within boundaries of PCAs and in surrounding landscapes and seascapes. We recommend further integration of risk assessments in environmental policy and enhanced investment in ecosystem red-list assessment to fill current gaps.

Contribuciones de la Lista Roja de Ecosistemas de la UICN al diseño y manejo basados en riesgos de las áreas conservadas y protegidas en África Resumen Las áreas protegidas y conservadas (APC) son herramientas clave del manejo de ecosistemas para conservar la biodiversidad y mantener los servicios ambientales y los cobeneficios sociales. Conforme los países adoptan un objetivo de 30% para la protección del suelo y el mar bajo el Marco Mundial de Biodiversidad de la Convención sobre la Diversidad Biológica de las Naciones Unidas, surge una pregunta crítica: ¿cuál 30%? Una respuesta basada en riesgos a esta pregunta es que se debe proteger el 30% que rinda la mayor reducción del riesgo de extinción de especies y del colapso del ecosistema. Los protocolos de la Lista Roja de la Unión Internacional para la Conservación de la Naturaleza (UICN) proporcionan métodos prácticos para evaluar estos riesgos. Todas las especies, incluidos los humanos, dependen de la integridad de los ecosistemas para su bienestar y supervivencia. África tiene una importancia estratégica para el manejo de ecosistemas debido a la convergencia de una gran diversidad de ecosistemas, presiones intensas y un nivel elevado de dependencia del humano hacia la naturaleza. Revisamos los resultados (p. ej.: aplicaciones de las valoraciones de las listas rojas de ecosistemas al diseño de áreas protegidas, planeación de la conservación y manejo) de un simposio en el primer Congreso de Áreas Protegidas Africanas convocado para discutir el papel de la Lista Roja de Ecosistemas de la UICN en el diseño y manejo de las APC. Existen avances recientes en la evaluación de los ecosistemas, con 920 tipos de ecosistemas evaluados bajo los criterios de la Lista Roja de la UICN en 21 países. Mientras estos ecosistemas comprenden una diversidad de ambientes en todo el continente, los principales vacíos temáticos los encontramos para los dominios subterráneos, de agua dulce y marina, además de que existe un gran vacío geográfico en el norte de África y en partes del este y oeste africano. Los proyectos de evaluación fueron implementados por una comunidad diversa de agencias gubernamentales, organizaciones no gubernamentales e investigadores. La influencia de las evaluaciones sobre las políticas y el manejo se da con la información que proveen a las extensiones y el manejo de las redes de áreas protegidas formales, el apoyo para la toma de decisiones de desarrollo sustentable y la guía para la conservación de ecosistemas y el abatimiento de amenazas dentro de los límites de las APC y en los paisajes terrestres y marinos adyacentes. Recomendamos una mayor integración de las evaluaciones de riesgo dentro de las políticas ambientales y más inversión para las evaluaciones de lista roja de los ecosistemas cubrir los vacíos existentes.

Are There Differences in Opioid Prescriptions to Urban and Rural Patients by Oral and Maxillofacial Surgeons in Massachusetts From 2011 to 2021?

PURPOSE: Oral-maxillofacial surgeons (OMSs) are frequent prescribers of opioid analgesics. It remains unclear if prescription patterns differ for urban versus rural patients, given potential differences in access to and delivery of care. This study aimed to characterize urban-rural differences in opioid analgesic prescriptions to patients in Massachusetts by OMSs from 2011 to 2021. METHODS: This retrospective cohort study used the Massachusetts Prescription Monitoring Program database to identify Schedule II and III opioid prescriptions by providers with specialty of oral and maxillofacial surgery from 2011 to 2021. The primary predictor variable was patient geography (urban/rural) and secondary predictor was year (2011-2021). The primary outcome variable was milligram morphine equivalent (MME) per prescription. Secondary outcome variables were days' supply per prescription and number of prescriptions received per patient. Descriptive and linear regression statistics were performed to analyze differences in prescriptions to urban and rural patients each year and throughout the study period. RESULTS: The study data, which includes OMS opioid prescriptions (n = 1,057,412) in Massachusetts from 2011 to 2021, ranged annually between 63,678 and 116,000 prescriptions to between 58,000 and 100,000 unique patients. The cohorts each year ranged between 48 and 56% female with mean ages between 37 and 44 years. There were no differences in the mean number of patients per provider in urban and rural populations in any year. The study sample had a large majority of urban patients (>98%). MME per prescription, days' supply per prescription, and prescriptions received per patient were all generally similar between urban and rural patients each year, with the largest MME per prescription difference in 2019 (87.3 for rural to 73.9 for urban patients, P < .01). From 2011 to 2021, all patients had a steady decrease in MME per prescription (ß = -6.64, 95% confidence interval: -6.81, -6.48; R2 = 0.39) and day's supply per prescription (ß = -0.1, 95% confidence interval: -0.1, -0.09; R2 = 0.37). CONCLUSION: In Massachusetts, there were similar opioid prescribing patterns by oral and maxillofacial surgeons to urban and rural patients from 2011 to 2021. There has also been a steady decrease in the duration and total dosage of opioid prescriptions to all patients. These results are consistent with multiple statewide policies over the last several years aimed at curbing opioid overprescribing.

Centers for Disease Control and Prevention Clinical Practice Guideline for Prescribing Opioids: United States, 2022: What dentists need to know.

BACKGROUND: The Centers for Disease Control and Prevention (CDC) published the Clinical Practice Guideline for Prescribing Opioids for Pain-United States, 2022 (CDCCPG) to replace the 2016 guideline. This guideline was designed to serve as a clinical tool to improve communication between clinicians and patients and empower them to make informed, person-centered decisions regarding pain management and the prescribing of opioids. It is intended for primary care and other clinicians, including dentists, who provide pain management for adults with acute, subacute, and chronic pain. TYPES OF STUDIES REVIEWED: This article summarizes the CDCCPG, with an emphasis on information of relevance to dentistry. RESULTS: For dentists, the most important recommendations for pain management are that nonsteroidal anti-inflammatory medications are first-line medications for acute dental pain, interdisciplinary care for chronic orofacial pain is indicated, and opioids should only be prescribed for acute dental pain for a maximum of 3 days after risk assessment. PRACTICAL IMPLICATIONS: The CDCCPG contains a great deal of relevant information that can help dentists and dental specialists make safe, effective, and evidence-based decisions in providing pain control for their patients.

Effects of interactions between anthropogenic stressors and recurring perturbations on ecosystem resilience and collapse.

Insights into declines in ecosystem resilience and their causes and effects can inform preemptive action to avoid ecosystem collapse and loss of biodiversity, ecosystem services, and human well-being. Empirical studies of ecosystem collapse are rare and hampered by ecosystem complexity, nonlinear and lagged responses, and interactions across scales. We investigated how an anthropogenic stressor could diminish ecosystem resilience to a recurring perturbation by altering a critical ecosystem driver. We studied groundwater-dependent, peat-accumulating, fire-prone wetlands known as upland swamps in southeastern Australia. We hypothesized that underground mining (stressor) reduces resilience of these wetlands to landscape fires (perturbation) by diminishing groundwater, a key ecosystem driver. We monitored soil moisture as an indicator of ecosystem resilience during and after underground mining. After landscape fire, we compared responses of multiple state variables representing ecosystem structure, composition, and function in swamps within the mining footprint with unmined reference swamps. Soil moisture declined without recovery in swamps with mine subsidence (i.e., undermined), but was maintained in reference swamps over 8 years (effect size 1.8). Relative to burned reference swamps, burned undermined swamps showed greater loss of peat via substrate combustion; reduced cover, height, and biomass of regenerating vegetation; reduced postfire plant species richness and abundance; altered plant species composition; increased mortality rates of woody plants; reduced postfire seedling recruitment; and extirpation of a hydrophilic animal. Undermined swamps therefore showed strong symptoms of postfire ecosystem collapse, whereas reference swamps regenerated vigorously. We found that an anthropogenic stressor diminished the resilience of an ecosystem to recurring perturbations, predisposing it to collapse. Avoidance of ecosystem collapse hinges on early diagnosis of mechanisms and preventative risk reduction. It may be possible to delay or ameliorate symptoms of collapse or to restore resilience, but the latter appears unlikely in our study system due to fundamental alteration of a critical ecosystem driver. Efectos de las interacciones entre los estresantes antropogénicos y las perturbaciones recurrentes sobre la resiliencia y el colapso de los ecosistemas.

La comprensión de la declinación en la resiliencia de los ecosistemas y sus causas y efectos puede orientar las acciones preventivas para evitar el colapso ecosistémico y la pérdida de biodiversidad, servicios ambientales y bienestar humano. Los estudios empíricos del colapso ecosistémico son escasos y se enfrentan a obstáculos como la complejidad del ecosistema, respuestas rezagadas y no lineales e interacciones entre las escalas. Investigamos cómo un estresante antropogénico podría reducir la resiliencia del ecosistema a una perturbación recurrente mediante la alteración de un causante importante. Estudiamos los humedales dependientes de aguas subterráneas que acumulan turbas y son propicios a incendios conocidos como pantanos de tierras altas en el sureste de Australia. Nuestra hipótesis fue que la minería subterránea (estresante) reduce la resiliencia de estos humedales a incendios (perturbación) al disminuir el agua subterránea, un causante clave para el ecosistema. Monitoreamos la humedad del suelo como un indicador de la resiliencia del ecosistema durante y después de la minería subterránea. Después de los incendios, comparamos la respuesta de múltiples variables de estado que representaban la estructura, composición y función del ecosistema en los pantanos dentro de la huella minera con los pantanos referenciales sin minería. La humedad del suelo declinó sin recuperación en los pantanos con hundimientos mineros (es decir, socavones) pero se mantuvo en los pantanos referenciales durante ocho años (tamaño del efecto: 1.8). En relación a los pantanos referenciales incendiados, los pantanos con socavones e incendios mostraron una mayor pérdida de turba mediante la combustión del sustrato; reducción en la cobertura, altura y regeneración de biomasa de la vegetación; reducción en la riqueza y abundancia de especies vegetales post incendio; alteraciones en la composición de especies vegetales; incremento en la mortalidad de las plantas leñosas; reducción en el reclutamiento post incendio de plántulas; y la extirpación de un animal hidrofílico. Por lo tanto, los pantanos con socavones mostraron síntomas fuertes de un colapso ecosistémico post incendio, mientras que los pantanos referenciales se regeneraron vigorosamente. Descubrimos que los estresantes antropogénicos redujeron la resiliencia de un ecosistema a perturbaciones recurrentes, lo que lo predispone al colapso. La eliminación de este colapso depende de un diagnóstico temprano de mecanismos y reducción del riesgo preventivo. Puede ser posible retardar o mitigar los síntomas del colapso o restaurar la resiliencia, aunque lo último parece ser improbable en nuestro sistema de estudio debido a la alteración fundamental de un causante importante del ecosistema.

A comparison of central-tendency and interconnectivity approaches to clustering multivariate data with irregular structure.

Questions: Most clustering methods assume data are structured as discrete hyperspheroidal clusters to be evaluated by measures of central tendency. If vegetation data do not conform to this model, then vegetation data may be clustered incorrectly. What are the implications for cluster stability and evaluation if clusters are of irregular shape or density? Location: Southeast Australia. Methods: We define misplacement as the placement of a sample in a cluster other than (distinct from) its nearest neighbor and hypothesize that optimizing homogeneity incurs the cost of higher rates of misplacement. Chameleon is a graph-theoretic algorithm that emphasizes interconnectivity and thus is sensitive to the shape and distribution of clusters. We contrasted its solutions with those of traditional nonhierarchical and hierarchical (agglomerative and divisive) approaches. Results: Chameleon-derived solutions had lower rates of misplacement and only marginally higher heterogeneity than those of k-means in the range of 15-60 clusters, but their metrics converged with larger numbers of clusters. Solutions derived by agglomerative clustering had the best metrics (and divisive clustering the worst) but both produced inferior high-level solutions to those of Chameleon by merging distantly-related clusters. Conclusions: Graph-theoretic algorithms, such as Chameleon, have an advantage over traditional algorithms when data exhibit discontinuities and variable structure, typically producing more stable solutions (due to lower rates of misplacement) but scoring lower on traditional metrics of central tendency. Advantages are less obvious in the partitioning of data from continuous gradients; however, graph-based partitioning protocols facilitate the hierarchical integration of solutions.

A function-based typology for Earth's ecosystems.

As the United Nations develops a post-2020 global biodiversity framework for the Convention on Biological Diversity, attention is focusing on how new goals and targets for ecosystem conservation might serve its vision of 'living in harmony with nature'1,2. Advancing dual imperatives to conserve biodiversity and sustain ecosystem services requires reliable and resilient generalizations and predictions about ecosystem responses to environmental change and management3. Ecosystems vary in their biota4, service provision5 and relative exposure to risks6, yet there is no globally consistent classification of ecosystems that reflects functional responses to change and management. This hampers progress on developing conservation targets and sustainability goals. Here we present the International Union for Conservation of Nature (IUCN) Global Ecosystem Typology, a conceptually robust, scalable, spatially explicit approach for generalizations and predictions about functions, biota, risks and management remedies across the entire biosphere. The outcome of a major cross-disciplinary collaboration, this novel framework places all of Earth's ecosystems into a unifying theoretical context to guide the transformation of ecosystem policy and management from global to local scales. This new information infrastructure will support knowledge transfer for ecosystem-specific management and restoration, globally standardized ecosystem risk assessments, natural capital accounting and progress on the post-2020 global biodiversity framework.

Extracellular Prostaglandins E1 and E2 and Inflammatory Cytokines Are Regulated by the Senescence Program in Potentially Premalignant Oral Keratinocytes.

Potentially pre-malignant oral lesions (PPOLs) are composed of keratinocytes that are either mortal (MPPOL) or immortal (IPPOL) in vitro. We report here that MPPOL, but not generally IPPOL, keratinocytes upregulate various extracellular tumor-promoting cytokines (interleukins 6 and 8) and prostaglandins E1 (ePGE1) and E2 (ePGE2) relative to normal oral keratinocytes (NOKs). ePGE upregulation in MPPOL was independent of PGE receptor status and was associated with some but not all markers of cellular senescence. Nevertheless, ePGE upregulation was dependent on the senescence program, cyclo-oxygenase 2 (COX2) and p38 mitogen-activated protein kinase and was partially regulated by hydrocortisone. Following senescence in the absence of p16INK4A, ePGEs accumulated in parallel with a subset of tumor promoting cytokine and metalloproteinase (MMP) transcripts, all of which were ablated by ectopic telomerase. Surprisingly, ataxia telangiectasia mutated (ATM) function was not required for ePGE upregulation and was increased in expression in IPPOL keratinocytes in line with its recently reported role in telomerase function. Only ePGE1 was dependent on p53 function, suggesting that ePGEs 1 and 2 are regulated differently in oral keratinocytes. We show here that ePGE2 stimulates IPPOL keratinocyte proliferation in vitro. Therefore, we propose that MPPOL keratinocytes promote the progression of IPPOL to oral SCC in a pre-cancerous field by supplying PGEs, interleukins and MMPs in a paracrine manner. Our results suggest that the therapeutic targeting of COX-2 might be enhanced by strategies that target keratinocyte senescence.