Coevolutionary networks: a novel approach to understanding the relationships of humans with the infectious agents

Human organism is interpenetrated by the world of microorganisms, from the conception until the death. This interpenetration involves different levels of interactions between the partners including trophic exchanges, bi-directional cell signaling and gene activation, besides genetic and epigenetic phenomena, and tends towards mutual adaptation and coevolution. Since these processes are critical for the survival of individuals and species, they rely on the existence of a complex organization of adaptive systems aiming at two apparently conflicting purposes: the maintenance of the internal coherence of each partner, and a mutually advantageous coexistence and progressive adaptation between them. Humans possess three adaptive systems: the nervous, the endocrine and the immune system, each internally organized into subsystems functionally connected by intraconnections, to maintain the internal coherence of the system. The three adaptive systems aim at the maintenance of the internal coherence of the organism and are functionally linked by interconnections, in such way that what happens to one is immediately sensed by the others. The different communities of infectious agents that live within the organism are also organized into functional networks. The members of each community are linked by intraconnections, represented by the mutual trophic, metabolic and other influences, while the different infectious communities affect each other through interconnections. Furthermore, by means of its adaptive systems, the organism influences and is influenced by the microbial communities through the existence of transconnections. It is proposed that these highly complex and dynamic networks, involving gene exchange and epigenetic phenomena, represent major coevolutionary forces for humans and microorganisms.

Discrete time Non-homogeneous Semi-Markov Processes applied to Models for Disability Insurance

In this paper, we present a stochastic model for disability insurance contracts. The model is based on a discrete time non-homogeneous semi-Markov process (DTNHSMP) to which the backward recurrence time process is introduced. This permits a more exhaustive study of disability evolution and a more efficient approach to the duration problem. The use of semi-Markov reward processes facilitates the possibility of deriving equations of the prospective and retrospective mathematical reserves. The model is applied to a sample of contracts drawn at random from a mutual insurance company.

Impact of an intervention to control risk associated with patient transfer.

QUESTION UNDER STUDY: Hospitals transferring patients retain responsibility until admission to the new health care facility. We define safe transfer conditions, based on appropriate risk assessment, and evaluate the impact of this strategy as implemented at our institution. METHODS: An algorithm defining transfer categories according to destination, equipment monitoring, and medication was developed and tested prospectively over 6 months. Conformity with algorithm criteria was assessed for every transfer and transfer category. After introduction of a transfer coordination centre with transfer nurses, the algorithm was implemented and the same survey was carried out over 1 year. RESULTS: Over the whole study period, the number of transfers increased by 40%, chiefly by ambulance from the emergency department to other hospitals and private clinics. Transfers to rehabilitation centres and nursing homes were reassigned to conventional vehicles. The percentage of patients requiring equipment during transfer, such as an intravenous line, decreased from 34% to 15%, while oxygen or i.v. drug requirement remained stable. The percentage of transfers considered below theoretical safety decreased from 6% to 4%, while 20% of transfers were considered safer than necessary. A substantial number of planned transfers could be "downgraded" by mutual agreement to a lower degree of supervision, and the system was stable on a short-term basis. CONCLUSION: A coordinated transfer system based on an algorithm determining transfer categories, developed on the basis of simple but valid medical and nursing criteria, reduced unnecessary ambulance transfers and treatment during transfer, and increased adequate supervision.

Substance abuse treatment for persons with co-occurring disorders.

This TIP, Substance Abuse Treatment for Persons With Co-Occurring Disorders, revises TIP 9, Assessment and Treatment of Patients With Coexisting Mental Illness and Alcohol and Other Drug Abuse. The revised TIP provides information about new developments in the rapidly growing field of co-occurring substance use and mental disorders and captures the state-of-the-art in the treatment of people with co-occurring disorders. The TIP focuses on what the substance abuse treatment clinician needs to know and provides that information in an accessible manner. The TIP synthesizes knowledge and grounds it in the practical realities of clinical cases and real situations so the reader will come away with increased knowledge, encouragement, and resourcefulness in working with clients with co-occurring disorders. Contents: Executive Summary â?¢ 1 Introduction  2 Definitions, Terms, and Classification Systems for Co-Occurring Disorders  3 Keys to Successful Programming  4 Assessment  5 Strategies for Working With Clients With Co-Occurring Disorders  6 Traditional Settings and Models  7 Special Settings and Specific Populations  8 A Brief Overview of Specific Mental Disorders and Cross-Cutting Issues 9 Substance-Induced Disorders Appendix A: Bibliography Appendix B: Acronyms  Appendix C: Glossary of Terms Appendix D: Specific Mental Disorders: Additional Guidance for the Counselor  Appendix E: Emerging Models â?¢ Appendix F: Common Medications for Disorders  Appendix G: Screening and Assessment Instruments  Appendix H: Screening Instruments  Appendix I: Selected Sources of Training  Appendix J: Dual Recovery Mutual Self-Help Programs and Other Resources for Consumers and Providers  Appendix K: Confidentiality  Appendix L: Resource Panel  Appendix M: Cultural Competency and Diversity Network Participants Appendix N: Field ReviewersThis resource was contributed by The National Documentation Centre on Drug Use.

Synchronization of EEG: bivariate and multivariate measures.

Synchronization behavior of electroencephalographic (EEG) signals is important for decoding information processing in the human brain. Modern multichannel EEG allows a transition from traditional measurements of synchronization in pairs of EEG signals to whole-brain synchronization maps. The latter can be based on bivariate measures (BM) via averaging over pair-wise values or, alternatively, on multivariate measures (MM), which directly ascribe a single value to the synchronization in a group. In order to compare BM versus MM, we applied nine different estimators to simulated multivariate time series with known parameters and to real EEGs.We found widespread correlations between BM and MM, which were almost frequency-independent for all the measures except coherence. The analysis of the behavior of synchronization measures in simulated settings with variable coupling strength, connection probability, and parameter mismatch showed that some of them, including S-estimator, S-Renyi, omega, and coherence, aremore sensitive to linear interdependences,while others, like mutual information and phase locking value, are more responsive to nonlinear effects. Onemust consider these properties together with the fact thatMM are computationally less expensive and, therefore, more efficient for the large-scale data sets than BM while choosing a synchronization measure for EEG analysis.

Mast cell changes in experimental diabetes: focus on attenuation of allergic events

The prevalence of atopic diseases and diabetes is increasing worldwide though the concurrence of these pathologies in individual patients is found less frequent than it would be predicted. Moreover, co-existence of diabetes and allergy is generally marked by attenuation of their respective symptoms, and effective treatment of one disease exacerbates the other. This review gives an update of the state-of-the-art concerning the intercurrence of allergy and diabetes, particularly focusing on the consequences to the allergen-evoked vascular and cellular changes. It is proposed that the reduction in mast cell numbers and reactivity may be a pivotal mechanism behind the mutual exclusion phenomenon.

Family doctors' consultations with people suffering from chronic pain without objective findings: Which protective practices might they develop in these challenging medical encounters?

Introduction: Consultations with patients suffering from chronic pain without objective findings represent a challenge fo r family doctors (FDs). A mutual lack of understanding may arise, which threatens the doctor-patient relationship and may lead to dissatisfaction of both patient and doctor and to a breakdown of the therapeutic alliance. Objectives: This study aims to investigate FDs' potential protective practices to preserve the doctor-patient relationship during this type of consultation. Method: In the first step of this qualitative research, I carried out a range of 10 se- mi-structured interviews with FDs to explore their reported practices and repre- sentations during consultations with people suffering from chronic pain without objective findings. The interviews' transcripts were integrally analysed with computer-assisted thematic content analysis (QSR NVivo ® ) to highlight the main themes related to the topic in the participants' talk. Results: At this point of the research, two types of FDs' protective practices can be identified: first the use of complementary sources of knowledge in addition to the medical model to provide explanations to patients, second the collaboration with multidisciplinary teams or support gr oups that allow them to share profes- sional expertise and emotional experiences. Conclusion: The findings could be useful to develop ways to improve the follow- up of patients suffering from chronic pain without objective findings and conse- quently the FDs' work satisfaction.

Medical image registration based on random line sampling

One of the key aspects in 3D-image registration is the computation of the joint intensity histogram. We propose a new approach to compute this histogram using uniformly distributed random lines to sample stochastically the overlapping volume between two 3D-images. The intensity values are captured from the lines at evenly spaced positions, taking an initial random offset different for each line. This method provides us with an accurate, robust and fast mutual information-based registration. The interpolation effects are drastically reduced, due to the stochastic nature of the line generation, and the alignment process is also accelerated. The results obtained show a better performance of the introduced method than the classic computation of the joint histogram

An information theoretic framework for image segmentation

In this paper, an information theoretic framework for image segmentation is presented. This approach is based on the information channel that goes from the image intensity histogram to the regions of the partitioned image. It allows us to define a new family of segmentation methods which maximize the mutual information of the channel. Firstly, a greedy top-down algorithm which partitions an image into homogeneous regions is introduced. Secondly, a histogram quantization algorithm which clusters color bins in a greedy bottom-up way is defined. Finally, the resulting regions in the partitioning algorithm can optionally be merged using the quantized histogram

Synergism/complementarity of recombinant adenoviral vectors and other vaccination platforms during induction of protective immunity against malaria

The lack of immunogenicity of most malaria antigens and the complex immune responses required for achieving protective immunity against this infectious disease have traditionally hampered the development of an efficient human malaria vaccine. The current boom in development of recombinant viral vectors and their use in prime-boost protocols that result in enhanced immune outcomes have increased the number of malaria vaccine candidates that access pre-clinical and clinical trials. In the frontline, adenoviruses and poxviruses seem to be giving the best immunization results in experimental animals and their mutual combination, or their combination with recombinant proteins (formulated in adjuvants and given in sequence or being given as protein/virus admixtures), has been shown to reach unprecedented levels of anti-malaria immunity that predictably will be somehow reproduced in the human setting. However, all this optimism was previously seen in the malaria vaccine development field without many real applicable results to date. We describe here the current state-of-the-art in the field of recombinant adenovirus research for malaria vaccine development, in particular referring to their use in combination with other immunogens in heterologous prime-boost protocols, while trying to simultaneously show our contributions and point of view on this subject.

Donors/recipients representations about living-kidney donation : P-527

Living-kidney donation offers an option to patients awaiting renal transplantation. Representations about giving-receiving are explored retrospectively in a qualitative study. Questionnaires with open questions were sent to thirty donor-recipient dyads. Interviews were also conducted, during which participants were invited to propose an image representing donation. Thematic analysis was performed on the questionnaires (twenty-nine donors; twenty-five recipients), and on the comments of ten images selected by five donors and five recipients. Percentages are given regarding each part (donors; recipients). In the questionnaires, life (34.5%; 12%), love (27.6%; 40%), quality of life (27.6%; 8%) and generosity (6.9%; 24%) are common grounds regarding giving-a-kidney. Obviousness, hope, personal benefits or duty are expressed by donors. Recipients explain donation through emphatic sentences, qualify it as a gift or refer to the donor's courage or risk-taking. Regarding receiving-a-kidney, life (31%; 60%), gift (10.3%; 28%) and debt (3.4%; 4%) are common grounds. Donors refer to generosity or love. Quality of life, donor's risk-taking or emphatic sentences are characteristic of recipients, who highlight that nobody had to die. Preliminary data on the comments of the images underline that live-donation represents life and love. Mutual help, sharing-act, obviousness and personal benefits are expressed by donors. Recipients use emphatic sentences or refer to quality of life, gift or the difficulty to accept donation. Life and love are common grounds in live-donation. Improvement in quality of life is underlined by recipients, who stress the donor's courage or risk-taking. Donors describe donation as obvious, sometimes accompanied by personal benefits. Feelings of duty (donors) and of debt (recipients) are less discussed. Representations about giving and receiving differ between donors and recipients. These data show the specificity of each perspective. This analysis provides valuable information in order to adapt individual or dyad psychological support in live-donation.

Sobre els mapes de semblança quàntica molecular

Partint de les definicions usuals de Mesures de Semblança Quàntica (MSQ), es considera la dependència d'aquestes mesures respecte de la superposició molecular. Pel cas particular en qnè els sistemes comparats siguin una molècula i un Àtom i que les mesures es calculin amb l'aproximació EASA, les MSQ esdevenen funcions de les tres coordenades de l'espai. Mantenint fixa una de les tres coordenades, es pot representar fàcilment la variació del valor de semblança en un pla determinat, i obtenir els anomenats mapes de semblança. En aquest article, es comparen els mapes de semblança obtinguts amb diferents MSQ per a sistemes senzills

Interpreting social enterprises

Institutional and organizational variety is increasingly characterizing advanced economic systems. While traditional economic theories have focused almost exclusively on profit-maximizing (i.e., for-profit) enterprises and on publicly-owned organizations, the increasing relevance of non-profit organizations, and especially of social enterprises, requires scientists to reflect on a new comprehensive economic approach for explaining this organizational variety. This paper examines the main limitations of the orthodox and institutional theories and asserts the need for creating and testing a new theoretical framework, which considers the way in which diverse enterprises pursue their goals, the diverse motivations driving actors and organizations, and the different learning patterns and routines within organizations. The new analytical framework proposed in the paper draws upon recent developments in the theories of the firm, mainly of an evolutionary and behavioral kind. The firm is interpreted as a coordination mechanism of economic activity, and one whose objectives need not coincide with profit maximization. On the other hand, economic agents driven by motivational complexity and intrinsic, non-monetary motivation play a crucial role in forming firm activity over and above purely monetary and financial objectives. The new framework is thought to be particularly suitable to correctly interpret the emergence and role of nontraditional organizational and ownership forms that are not driven by the profit motive (non-profit organizations), mainly recognized in the legal forms of cooperative firms, non-profit organizations and social enterprises. A continuum of organizational forms ranging from profit making activities to public benefit activities, and encompassing mutual benefit organizations as its core constituent, is envisaged and discussed.

Local Competition, Inbreeding, and the Evolution of Sex-Biased Dispersal.

Using game theory, we developed a kin-selection model to investigate the consequences of local competition and inbreeding depression on the evolution of natal dispersal. Mating systems have the potential to favor strong sex biases in dispersal because sex differences in potential reproductive success affect the balance between local resource competition and local mate competition. No bias is expected when local competition equally affects males and females, as happens in monogamous systems and also in polygynous or promiscuous ones as long as female fitness is limited by extrinsic factors (breeding resources). In contrast, a male-biased dispersal is predicted when local mate competition exceeds local resource competition, as happens under polygyny/promiscuity when female fitness is limited by intrinsic factors (maximal rate of processing resources rather than resources themselves). This bias is reinforced by among-sex interactions: female philopatry enhances breeding opportunities for related males, while male dispersal decreases the chances that related females will inbreed. These results meet empirical patterns in mammals: polygynous/promiscuous species usually display a male-biased dispersal, while both sexes disperse in monogamous species. A parallel is drawn with sex-ratio theory, which also predicts biases toward the sex that suffers less from local competition. Optimal sex ratios and optimal sex-specific dispersal show mutual dependence, which argues for the development of coevolution models.

Detecció automàtica de punts facials característics utilitzant Random Ferns i el criteri de la información mútua simplificada

En aquest article comparem el rendiment que presenten dos sistemes de reconeixement de punts característics en imatges: en el primer utilitzem la tècnica Random Ferns bàsica i en el segon (que anomenem Ferns amb Informació Mútua o FIM) apliquem una tècnica d'obtenció de Ferns utilitzant un criteri simplificat de la informació mútua.