The Faculty of Pharmaceutical Medicine – Foundation, function and future

The Faculty of Pharmaceutical Medicine was established in the United Kingdom (UK) in 1989 to develop and maintain competence, ethics and the highest professional standards of practice in the discipline. This article charts the founding principles and history of the Faculty, details its composition and membership, and outlines the major functions and achievements of the organisation in the context of the development of the discipline of pharmaceutical medicine. The recognition of pharmaceutical medicine as a medical specialty in the UK is described together with the associated certification programme Pharmaceutical Medicine Specialty Training, which enables pharmaceutical physicians to become certified practitioners in the specialty with the UK General Medical Council (UK GMC)

Investigation and validation of PV fed reduced switch asymmetric multilevel inverter using optimization based selective harmonic elimination technique

Pulse width modulation for Selective Harmonics Elimination (SHE) is mostly employed in the reduction of lower order harmonics. The PV system in this research provides input voltage to the reduced switch 31-level inverter, which is based on the Artificial Bee Colony algorithm. With a high gain DC-DC single-ended primary-inductor converter (SEPIC), the PV panel output voltage is kept constant. The Grey wolf optimization algorithm (GWO) approach is used to get the most power out PV scheme. Multi Carrier modulation, a high-frequency modulation technology, is also used in this novel design of the inverter to reduce upper order harmonics. The suggested Artificial Bee Colony (ABC) algorithm, harmonics is compared to a SHE technique based on a genetic algorithm. The hardware findings were confirmed using DSPIC30F2010 controller simulation, and the recommended system was validated using Matlab simulation

International Perception of Competence, Education, and Training Needs Among Biomedical Professionals Involved in Medicines Development

The development of new medicines today, requires a multi-professional workforce, both in industry and the clinical research arena. Pharmaceutical physicians (PPs) and medicines development scientists (MDS) need a certain level of competence, achieved through on-the-job experience, with a postgraduate education foundation and continuous professional development programs. In order to assess the self-perception of competence, education and training needs, an on-line questionnaire based on the seven domains of competence, developed by IFAPP-PharmaTrain, was prepared and distributed among PPs and MDS members of IFAPP’s affiliated professional associations in countries with facilities for postgraduate education. The data collection was run over a fixed period of three months in Japan, Italy, Brazil, and Spain during 2017. Results indicate low but variable levels of perceived competence for the various domains as well as seniority in the job. All respondents declared a significant need for continuing professional development in all domains. These results corroborate and support the continuous efforts, put in place by IFAPP and the PharmaTrain Federation, to foster the development of accredited education and training among professionals involved in medicines development

Fostering Competence in Medicines Development: The IFAPP Perspective

IFAPP (International Federation of Associations of Pharmaceutical Physicians and Pharmaceutical Medicine) is a nonprofit organization with the mission to promote Pharmaceutical Medicine & Medicines Development (PM&MD) by enhancing the competencies and maintaining high research ethical standards of Pharmaceutical Physicians and other professionals involved in medicines development worldwide, leading to the availability and appropriate use of medicines for the benefit of patients and society(1). About 30 national professional associations related to PM&MD, involving 7000 professionals, are affiliated to IFAPP Medicines development has traditionally been a challenging enterprise, with high risk, high investment, and potentially high returns in the lengthy and complex process of identifying a new chemical entity as a candidate for development and possibly succeeding in bringing it as a pharmaceutical product to the market. However, the emergence of genomics, translational research, biomarkers, and precision medicine pose challenges going forward involving allocation of resources, price, market access, and cost-effectiveness as opposed to the traditional concepts of "efficacy" and "safety." Education and Continuing Professional Development (CPD) are a major focus of IFAPP. The International Conference on Pharmaceutical Medicine (ICPM) is the largest event for our organization; ICPM is held every 2 or 3 years and is aimed to provide the state of the art in key areas for our discipline and profession. The paper is a reflection on the role of competency-based education and training for Pharmaceutical Physicians and medicines development scientists, as was discussed during the recent ICPM 2016 held in Sao Paulo, Brazil on April 18-19, with the support of the Brazilian Association of Pharmaceutical Medicine, and gathered around 200 representatives from the pharmaceutical, clinical research and regulatory arenas from all over the world(2,3)

Using evolved paths for control in robot soccer

In this paper we use an evolutionary algorithm to evolve paths using robot velocity profiles from an initial configuration to a configuration behind the ball. Physical conditions for wheel lift are incorporated as well as forward and reverse motion of the robot. a fuzzy clustering technique is used to build the fuzzy control knowledge base from optimised paths found for a large grid of initial configurations

Evolutionary learning of fuzzy control in robot soccer

In this chapter an evolutionary algorithm is developed to learn a fuzzy knowledge base for the control ofa soccer micro-robot from any configuration belonging to a grid of initial configurations, to hit the ball along the ball to goal line ofsight. A relative coordinate system is used. Forward and reverse mode of the robot and its physical dimensions are incorporated, as well as special considerations to cases when in its initial configuration, the robot is touching the ball

Evolutionary learning of a 5120 fuzzy controller including wheel lift constraint

In this paper an evolutionary algorithm is developed to learn a fuzzy knowledge base for the control of a soccer playing micro-robot from any configuration belonging to a grid of initial configurations to hit the ball along the ball to goal line of sight. The knowledge base uses a relative co-ordinate system including left and right wheel velocities of the robot. Final path positions allow forward and reverse facing robot to ball and include its physical dimensions. A wheel lift constraint is now included in determining the controller

Hierarchical fuzzy control in robot soccer using evolving algorithms

In this paper, an evolutionary algorithm is developed to learn a three layer hierarchical fuzzy knowledge base. This knowledge base is used in a fuzzy controller to control a micro-robot to hit the ball along the ball to goal line of sight from any configurations belonging to a grid of initial configurations. The inputs to the fuzzy controller are variables from a relative coordinate system and output change in wheel velocities. Forward and reverse facing impact with the ball and physical dimensions are included