870 resultados para evolutionary medicine
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Introduction: Domperidone is a dopamine D2-receptor antagonist developed as an antiemetic and prokinetic agents. Oral domperidone is not approved in the US, but is used in many countries to treat nausea and vomiting, gastroparesis, and as a galactogogue (to promote lactation). The US Food and Drug Administration (FDA) have issued a warning about the cardiac safety of domperidone. Areas covered: The authors undertook a review of the cardiac safety of oral domperidone. Expert opinion: The data from preclinical studies are unambiguous in identifying domperidone as able to produce marked hERG channel inhibition and action potential prolongation at clinically relevant concentrations. The compound’s propensity to augment instability of action potential duration and action potential triangulation are also indicative of proarrhythmic potential. Domperidone should not be administered to subjects with pre-existing QT prolongation/LQTS, subjects receiving drugs that inhibit CYP3A4, subjects with electrolyte abnormalities or with other risk factors for QT-prolongation. With these provisos, it is possible that domperidone may be used as a galactogogue without direct risk to healthy breast feeding women but more safety information should be sought in this situation. Also, more safety information is required regarding risk to breast feeding infants or before domperidone is routinely used in gastroparesis or gastroesphageal reflux in children.
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Editorial paper
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This research looked at using the metaphor of biological evolution as a way of solving architectural design problems. Drawing from fields such as language grammars, algorithms and cellular biology, this thesis looked at ways of encoding design information for processing. The aim of this work is to help in the building of software that support the architectural design process and allow designers to examine more variations.
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The K-means algorithm is one of the most popular techniques in clustering. Nevertheless, the performance of the K-means algorithm depends highly on initial cluster centers and converges to local minima. This paper proposes a hybrid evolutionary programming based clustering algorithm, called PSO-SA, by combining particle swarm optimization (PSO) and simulated annealing (SA). The basic idea is to search around the global solution by SA and to increase the information exchange among particles using a mutation operator to escape local optima. Three datasets, Iris, Wisconsin Breast Cancer, and Ripley’s Glass, have been considered to show the effectiveness of the proposed clustering algorithm in providing optimal clusters. The simulation results show that the PSO-SA clustering algorithm not only has a better response but also converges more quickly than the K-means, PSO, and SA algorithms.
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This paper presents a new hybrid evolutionary algorithm based on Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) for daily Volt/Var control in distribution system including Distributed Generators (DGs). Due to the small X/R ratio and radial configuration of distribution systems, DGs have much impact on this problem. Since DGs are independent power producers or private ownership, a price based methodology is proposed as a proper signal to encourage owners of DGs in active power generation. Generally, the daily Volt/Var control is a nonlinear optimization problem. Therefore, an efficient hybrid evolutionary method based on Particle Swarm Optimization and Ant Colony Optimization (ACO), called HPSO, is proposed to determine the active power values of DGs, reactive power values of capacitors and tap positions of transformers for the next day. The feasibility of the proposed algorithm is demonstrated and compared with methods based on the original PSO, ACO and GA algorithms on IEEE 34-bus distribution feeder.
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This paper presents an efficient hybrid evolutionary optimization algorithm based on combining Ant Colony Optimization (ACO) and Simulated Annealing (SA), called ACO-SA, for distribution feeder reconfiguration (DFR) considering Distributed Generators (DGs). Due to private ownership of DGs, a cost based compensation method is used to encourage DGs in active and reactive power generation. The objective function is summation of electrical energy generated by DGs and substation bus (main bus) in the next day. The approach is tested on a real distribution feeder. The simulation results show that the proposed evolutionary optimization algorithm is robust and suitable for solving DFR problem.
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This paper deals with an efficient hybrid evolutionary optimization algorithm in accordance with combining the ant colony optimization (ACO) and the simulated annealing (SA), so called ACO-SA. The distribution feeder reconfiguration (DFR) is known as one of the most important control schemes in the distribution networks, which can be affected by distributed generations (DGs) for the multi-objective DFR. In such a case, DGs is used to minimize the real power loss, the deviation of nodes voltage and the number of switching operations. The approach is carried out on a real distribution feeder, where the simulation results show that the proposed evolutionary optimization algorithm is robust and suitable for solving the DFR problem.
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The aim of this study is to estimate the ratio of male and female participants in Sports and Exercise Medicine research. Original research articles published in three major Sports and Exercise Medicine journals (Medicine and Science in Sport and Exercise, British Journal of Sports Medicine and American Journal of Sports Medicine) over a three year period were examined. Each article was screened to determine the following: total number of participants, the number of female participants and the number of male participants. The percentage of females and males per article in each of the journals was also calculated. Cross tabulations and Chi square analysis were used to compare the gender representation of participants within each of the journals. Data were extracted from 1, 382 articles involving a total of 6, 076, 705 participants. 2, 366, 998 (39%) participants were female and 3, 709, 707 (61%) male. The average percentage of female participants per article across the journals ranged from 35-37%. Females were significantly under-represented across all of the journals (X2 =23566, df=2, p<0.00001). There were no significant differences between the three journals. In conclusion, Sports and Exercise Medicine practitioners should be cognisant of sexual dimorphism and gender disparity in the current literature.
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The standard approach to industrial economics starts with the industry’s basic conditions, then runs through the structure–conduct–performance paradigm of industrial organization, and finally considers government regulation and policy. Most creative industries segments have been studied in this way, for example in Albarran (2002) and Caves (2000). These approaches use standard economic analysis to explain the particular properties and characteristics of a specific industrial sector. The overview presented here is different again. It focuses on the creative industries and examines their economic effect, specifically their contribution to economic evolu -tion. This is an evolutionary systems approach to industrial analysis, where we seek to understand how a sector fits into a broader system of production, consumption, technology, trade and institutions. The evolutionary approach focuses on innovation, economic growth and endogenous transformation. So, rather than using economics to explain static or industrial-organization features of the creative industries, we are using an open systems view of the creative industries to explain dynamic ‘Schumpeterian’ features of the broader economy. The creative industries are drivers of economic transformation through their role in the origination of new ideas, in consumer adoption, and in facilitating the institutional embedding of new ideas into the economic order. This is not a novel idea, as economists have long understood that particular activities are drivers of economic growth and development, for example research and development, and also that particular sectors are instrumental to this process, for example high-technology sectors. What is new is the argument that cultural and creative sectors are also a key part of this process of economic evolution. We will review the case for that claim, and outline purported mechanisms. We will also consider why policy settings in the creative industries should be more in line with innovation and growth policy than with industry policy.
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Two lecture notes describe recent developments of evolutionary multi objective optimization (MO) techniques in detail and their advantages and drawbacks compared to traditional deterministic optimisers. The role of Game Strategies (GS), such as Pareto, Nash or Stackelberg games as companions or pre-conditioners of Multi objective Optimizers is presented and discussed on simple mathematical functions in Part I , as well as their implementations on simple aeronautical model optimisation problems on the computer using a friendly design framework in Part II. Real life (robust) design applications dealing with UAVs systems or Civil Aircraft and using the EAs and Game Strategies combined material of Part I & Part II are solved and discussed in Part III providing the designer new compromised solutions useful to digital aircraft design and manufacturing. Many details related to Lectures notes Part I, Part II and Part III can be found by the reader in [68].
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This thesis is concerned with understanding the roles of four alternate healing systems and medical practice in the community's health behaviour. The four alternate systems are naturopathy, homoeopathy, osteopathy and chiropractic. The research reported developed from work supported by the Committee of Inquiry into Chiropractic, Osteopathy, Homoeopathy and Naturopathy conducted under the chairmanship of Professor E. C. Webb set up by the Australian Government in 1975. The study concentrates on the factors which influence individual clients in their decisions to consult healers for treatment. An underlying assumption is that an analysis of the processes that effect such decisions will lead to further knowledge of the community's attitudes towards the functions of alternate healing and medicine. A review of the historical backgrounds and current status of the four alternate healing systems leads to the conclusion that they differ in a variety of areas. These areas include treatment modalities, historical backgrounds, occupational development and rapprochement with medicine. Homoeopathy, osteopathy and chiropractic emerged as distinct approaches to healing late in the nineteenth century. Naturopathy tends to be a philosophy or style of life as much as a health system in its own right. Their relationships with medicine also vary; osteopathy and naturopathy receive some acceptance, some homoeopaths are tolerated, whilst chiropractic is ostracised and vilified. A common paradigm of treatment underlies all four alternate approaches to healing. They all eschew the use of synthetic pharmaceuticals and invasive treatments and accept an indigenous theory of disease and a belief in the vis medicatrix naturae or the healing power of nature. An inevitable concomitant of this paradigm is that they believe that healing and health must be self-engendered. They rest within the client and his or her actions, not within the hands, skills or power of the healer. It is these characteristics combined with the alternate healers ' claims to espouse a similar scientific rationale for their approaches, and their functioning as parallel healers to medicine, that establishes their special relationship with medicine. This relationship become s more problematic in the face of medicine's hegemony and claim to unique legitimacy as the community's sole healing system. The interaction between these systems and medical practice can be gauged through articles related to the four alternate healing systems that have appeared in the medical literature. Interest has been cyclical but appears to have markedly increased in the past two decades. In this period it has included exploratory and descriptive writing; concern with controlling and/or eradicating the healers; desire to protect an ignorant and vulnerable public and. finally understanding and exploration of what the alternate healers might have to offer. At the same time, the public or institutionalized role has been one of denial and suppression through ostracism and legal constraints. In spite of medicine's position the alternate healing systems have found growing community acceptance so that it is problematical and probably unacceptable now to consider their use as a 'deviant ' health action. Increasing interest in the characteristics of clients has provided a consensus that they are similar to the adult population and are more likely to suffer from musculoskeletal and chronic illnesses. They are no more likely to be neurotic or gullible than the general community, but probably more practical and more oriented towards an active involvement in the healing process. The impact of these issues is explored, through comparing the strategies taken into account when choosing a treatment. These include attending one of the alternate healers exclusively for a condition; attending an alternate healer and a medical practitioner for the same problem; attending a medical practitioner solely or not consulting any healer. Respondents from surveys of alternate healer clients and the general community were classified according to their use of these four strategies, and the influences on their decisions at different stages of the treatment decision making process were compared.
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"Combining facets of health physics with medicine, An Introduction to Radiation Protection in Medicine covers the background of the subject and the medical situations where radiation is the tool to diagnose or treat human disease. Encouraging newcomers to the field to properly and efficiently function in a versatile and evolving work setting, it familiarizes them with the particular problems faced during the application of ionizing radiation in medicine. The text builds a fundamental knowledge base before providing practical descriptions of radiation safety in medicine. It covers basic issues related to radiation protection, including the physical science behind radiation protection and the radiobiological basis of radiation protection. The text also presents operational and managerial tools for organizing radiation safety in a medical workplace. Subsequent chapters form the core of the book, focusing on the practice of radiation protection in different medical disciplines. They explore a range of individual uses of ionizing radiation in various branches of medicine, including radiology, nuclear medicine, external beam radiotherapy, and brachytherapy. With contributions from experienced practicing physicists, this book provides essential information about dealing with radiation safety in the rapidly shifting and diverse environment of medicine."--publisher website
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This thesis is a study of new design methods for allowing evolutionary algorithms to be more effectively utilised in aerospace optimisation applications where computation needs are high and computation platform space may be restrictive. It examines the applicability of special hardware computational platforms known as field programmable gate arrays and shows that with the right implementation methods they can offer significant benefits. This research is a step forward towards the advancement of efficient and highly automated aircraft systems for meeting compact physical constraints in aerospace platforms and providing effective performance speedups over traditional methods.
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Nanoparticles and low-temperature plasmas have been developed, independently and often along different routes, to tackle the same set of challenges in biomedicine. There are intriguing similarities and contrasts in their interactions with cells and living tissues, and these are reflected directly in the characteristics and scope of their intended therapeutic solutions, in particular their chemical reactivity, selectivity against pathogens and cancer cells, safety to healthy cells and tissues and targeted delivery to diseased tissues. Time has come to ask the inevitable question of possible plasma–nanoparticle synergy and the related benefits to the development of effective, selective and safe therapies for modern medicine. This perspective paper offers a detailed review of the strengths and weakenesses of nanomedicine and plasma medicine as a stand-alone technology, and then provides a critical analysis of some of the major opportunities enabled by synergizing nanotechnology and plasma technology. It is shown that the plasma–nanoparticle synergy is best captured through plasma nanotechnology and its benefits for medicine are highly promising.
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These lecture notes describe the use and implementation of a framework in which mathematical as well as engineering optimisation problems can be analysed. The foundations of the framework and algorithms described -Hierarchical Asynchronous Parallel Evolutionary Algorithms (HAPEAs) - lie upon traditional evolution strategies and incorporate the concepts of a multi-objective optimisation, hierarchical topology, asynchronous evaluation of candidate solutions , parallel computing and game strategies. In a step by step approach, the numerical implementation of EAs and HAPEAs for solving multi criteria optimisation problems is conducted providing the reader with the knowledge to reproduce these hand on training in his – her- academic or industrial environment.