'Toxic' and 'Nontoxic': confirming critical terminology concepts and context for clear communication

If 'the dose makes the poison', and if the context of an exposure to a hazard shapes the risk as much as the innate character of the hazard itself, then what is 'toxic' and what is 'nontoxic'? This article is intended to help readers and communicators: anticipate that concepts such as 'toxic' and 'nontoxic' may have different meanings to different stakeholders in different contexts of general use, commerce, science, and the law; recognize specific situations in which terms and related information could potentially be misperceived or misinterpreted; evaluate the relevance, reliability, and other attributes of information for a given situation; control actions, assumptions, interpretations, conclusions, and decisions to avoid flaws and achieve a desired outcome; and confirm that the desired outcome has been achieved. To meet those objectives, we provide some examples of differing toxicology terminology concepts and contexts; a comprehensive decision-making framework for understanding and managing risk; along with a communication and education message and audience-planning matrix to support the involvement of all relevant stakeholders; a set of CLEAR-communication assessment criteria for use by both readers and communicators; example flaws in decision-making; a suite of three tools to assign relevance vs reliability, align know vs show, and refine perception vs reality aspects of information; and four steps to foster effective community involvement and support. The framework and supporting process are generally applicable to meeting any objective.

Communication skills training and clinicians' defenses in oncology: an exploratory, controlled study.

Objective: The underlying mechanisms modifying clinician's communication skills by means of communication skills training (CST) remain unknown. Defense mechanisms, defined as psychological processes protecting the individual against emotional stress, may be a mediating factor of skills improvement.Methods: Using an adapted version of the Defense Mechanism Rating Scale-Clinician, this study evaluated clinicians' defense mechanisms and their possible modification after CST. Interviews with simulated patients of oncology clinicians (N=57) participating in CST (pre-/post-CST with a 6-month interval) were compared WITH interviews with the same simulated patients of oncology clinicians (N=56) who did not undergo training (T1 and T2 with a 6-month interval).Results: Results showed (i) a high number (mean=16, SD=6) and variety of defenses triggered by the 15-min interviews, (ii) no evolution difference between groups, and (iii) an increase in mature defenses after CST for clinicians with an initial higher level of defensive functioning.Conclusions: This is the first study describing clinicians' defensive functioning; results indicate a possible mediating role of defenses in clinician-patient communication.

Brief communication: Report on the impact of the 27 February 2010 earthquake (Chile, Mw 8.8) on rockfalls in the Las Cuevas valley, Argentina

Numerous rockfalls were detected in the Las Cuevas valley, Argentina, after the 27 February 2010 earthquake in Chile. Live rockfalls were observed during aftershocks of 11 March 2010. Many rockfall source areas coincide with known thrust fault and some areas presented a rockfall activity even after the tremors. Some rockfalls crossed the National Road 7 but no damages to houses or vehicles were reported. This study illustrates how the 27 February 2010 earthquake impacted on unstable slopes in a valley far from the earthquakes epicentre. It is an interesting addition to previous studies on landslides caused by earthquakes because of the high magnitude of the event and of its aftershocks.

The psychostimulant modafinil enhances gap junctional communication in cortical astrocytes.

Sleep-wake cycle is characterized by changes in neuronal network activity. However, for the last decade there is increasing evidence that neuroglial interaction may play a role in the modulation of sleep homeostasis and that astrocytes have a critical impact in this process. Interestingly, astrocytes are organized into communicating networks based on their high expression of connexins, which are the molecular constituents of gap junction channels. Thus, neuroglial interactions should also be considered as the result of the interplay between neuronal and astroglial networks. Here, we investigate the effect of modafinil, a wakefulness-promoting agent, on astrocyte gap junctional communication. We report that in the cortex modafinil injection increases the expression of mRNA and protein of connexin 30 but not those of connexin 43, the other major astroglial connexin. These increases are correlated with an enhancement of intercellular dye coupling in cortical astrocytes, which is abolished when neuronal activity is silenced by tetrodotoxin. Moreover, gamma-hydroxybutyric acid, which at a millimolar concentration induces sleep, has an opposite effect on astroglial gap junctions in an activity-independent manner. These results support the proposition that astroglia may play an important role in complex physiological brain functions, such as sleep regulation, and that neuroglial networking interaction is modified during sleep-wake cycle. This article is part of the Special Issue Section entitled 'Current Pharmacology of Gap Junction Channels and Hemichannels'.

Analysis, modelling and classification of geospatial data using machine learning

The research considers the problem of spatial data classification using machine learning algorithms: probabilistic neural networks (PNN) and support vector machines (SVM). As a benchmark model simple k-nearest neighbor algorithm is considered. PNN is a neural network reformulation of well known nonparametric principles of probability density modeling using kernel density estimator and Bayesian optimal or maximum a posteriori decision rules. PNN is well suited to problems where not only predictions but also quantification of accuracy and integration of prior information are necessary. An important property of PNN is that they can be easily used in decision support systems dealing with problems of automatic classification. Support vector machine is an implementation of the principles of statistical learning theory for the classification tasks. Recently they were successfully applied for different environmental topics: classification of soil types and hydro-geological units, optimization of monitoring networks, susceptibility mapping of natural hazards. In the present paper both simulated and real data case studies (low and high dimensional) are considered. The main attention is paid to the detection and learning of spatial patterns by the algorithms applied.

Example-based support vector machine for drug concentration analysis

Machine learning has been largely applied to analyze data in various domains, but it is still new to personalized medicine, especially dose individualization. In this paper, we focus on the prediction of drug concentrations using Support Vector Machines (S VM) and the analysis of the influence of each feature to the prediction results. Our study shows that SVM-based approaches achieve similar prediction results compared with pharmacokinetic model. The two proposed example-based SVM methods demonstrate that the individual features help to increase the accuracy in the predictions of drug concentration with a reduced library of training data.

Resting-brain functional connectivity predicted by analytic measures of network communication.

The complex relationship between structural and functional connectivity, as measured by noninvasive imaging of the human brain, poses many unresolved challenges and open questions. Here, we apply analytic measures of network communication to the structural connectivity of the human brain and explore the capacity of these measures to predict resting-state functional connectivity across three independently acquired datasets. We focus on the layout of shortest paths across the network and on two communication measures-search information and path transitivity-which account for how these paths are embedded in the rest of the network. Search information is an existing measure of information needed to access or trace shortest paths; we introduce path transitivity to measure the density of local detours along the shortest path. We find that both search information and path transitivity predict the strength of functional connectivity among both connected and unconnected node pairs. They do so at levels that match or significantly exceed path length measures, Euclidean distance, as well as computational models of neural dynamics. This capacity suggests that dynamic couplings due to interactions among neural elements in brain networks are substantially influenced by the broader network context adjacent to the shortest communication pathways.

Effects of communication training on real practice performance: a role-play module versus a standardized patient module.

This study investigated the effectiveness of modules involving standardized patients and role-plays on training communication skills. The first module involved standardized patients and an Objective Structured Clinical Examination (OSCE); the second module consisted of peer role-plays and a written examination. A randomized posttest-only control group design with first-year nursing students was used. The intervention group received one-to-one communication training with direct oral feedback from the standardized patient. The control group had training with peer role-playing and mutual feedback. The posttest involved students' rating their self-efficacy, and real patients and clinical supervisors evaluated their communication skills. No significant differences were found between self-efficacy and patient ratings. However, the clinical supervisors rated the intervention group's communication skills to be significantly (p < 0.0001) superior. Assessments by clinical supervisors indicate that communication training modules including standardized patients and an OSCE are superior to communication training modules with peer role-playing.

Involvement of gap junctional intercellular communication in the pathophysiology of inflammation

SUMMARY Inflammation has evolved as a mechanism to defend the body against invading microorganisms and to respond to injury. It requires the coordinated response of a large number of cell types from the whole organism in a time- and space-dependent fashion. This coordination involves several cell-cell communication mechanisms. Exchange of humoral mediators such as cytokines is a major one. Moreover, direct contact between cells happens and plays a primordial role, for example when macrophages present antigens to lymphocytes. Contact between endothelial cells and leucocytes occurs when the latter cross the blood vessel barrier and transmigrate to the inflammatory site. A particular way by which cells communicate with each other in the course of inflammation, which at this time starts to gain attention, is the intercellular communication mediated by gap junctions. Gap junctions are channels providing a direct pathway (i.e. without transit through the extracellular space) for the diffusion of small molecules between adjacent cells. This process is known as gap junctional intercellular communication (GJIC). The general aim of this thesis was to study a possible involvement of GJIC in the pathophysiology of inflammation. A first part of the work was dedicated to study the implication of GJIC in the modification of vascular endothelial function by inflammation. In a second part, we were interested in the possible role of GJIC in the transmigration of neutrophil polymorphonuclear leucocytes through the endothelium. The main positive finding of this work is that acute inflammation preferentially modulates the expression of connexin 40 (Cx40), a gap junction protein specifically expressed in vascular endothelium. The modulation could be towards overexpression (aortic endothelium of septic rats) or towards downregulation (acutely inflamed mouse lung). We put a lot of efforts in search of possible functions of these modulations, in two directions: a potential protective role of Cx40 increased expression against sepsis-induced endothelial dysfunction, and a facilitating role of Cx40 decreased expression in neutrophil transmigration. To pursue both directions, it seemed logical to study the impact of Cx40 deletion using knock-out mice. Concerning the potential protective role of Cx40 overexpression we encountered a roadblock as we observed, in the aorta, a Cx40 downregulation in wild type mouse whereas Cx40 was upregulated in the rat. Regarding the second direction and using an in vivo approach, we observed that pulmonary neutrophil transmigration was not affected by the genetic deletion of Cx40. In spite of their negative nature, these results are the very first ones regarding the potential implication of GJIC concerning leucocyte transmigration in vivo. Because this process involves such tight cell-cell physical contacts, the hypothesis for a role of GJIC remains attractive.