Leadership,consensus decision making and collective behaviour in humans

This paper reviews the literature on leadership in vertebrate groups, including recent work on human groups, before presenting the results of three new experiments looking at leadership and decision making in small and large human groups. In experiment 1, we find that both group size and the presence of uninformed individuals can affect the speed with which small human groups (eight people) decide between two opposing directional preferences and the likelihood of the group splitting. In experiment 2, we show that the spatial positioning of informed individuals within small human groups (10 people) can affect the speed and accuracy of group motion. We find that having a mixture of leaders positioned in the centre and on the edge of a group increases the speed and accuracy with which the group reaches their target. In experiment 3, we use large human crowds (100 and 200 people) to demonstrate that the trends observed from earlier work using small human groups can be applied to larger crowds. We find that only a small minority of informed individuals is needed to guide a large uninformed group. These studies build upon important theoretical and empirical work on leadership and decision making in animal groups.     

Reconstruction of genuine pair-wise sequence alignment.

In many applications, the algorithmically obtained alignment ideally should restore the "golden standard" (GS) alignment, which superimposes positions originating from the same position of the common ancestor of the compared sequences. The average similarity between the algorithmically obtained and GS alignments ("the quality") is an important characteristic of an alignment algorithm. We proposed to determine the quality of an algorithm, using sequences that were artificially generated in accordance with an appropriate evolution model; the approach was applied to the global version of the Smith-Waterman algorithm (SWA). The quality of SWA is between 97% (for a PAM distance of 60) and 70% (for a PAM distance of 300). The percentage of identical aligned residues is the same for algorithmic and GS alignments. The total length of indels in algorithmic alignments is less than in the GS-mainly due to a substantial decrease in the number of indels in algorithmic alignments.     

隐球菌感染诊治专家共识

1简介 隐球菌属在真菌分类学上归人半知菌亚门、芽孢菌纲、隐球酵母目、隐球酵母科,引起人类感染的隐球菌主要是新生隐球菌和格特隐球菌。两种隐球菌的无性繁殖体均为无菌丝的单芽孢酵母样菌,在体外为无荚膜或仅有小荚膜,进入人体内后很快形成厚荚膜,有荚膜的隐球菌菌体直径明显增加,致病力明显增强。     

Report of the Canadian Hypertension Society's consensus conference on the management of mild hypertension.

Since the publication in 1977 of joint recommendations by the Canadian Cardiovascular Society, the Canadian Heart Foundation and the Ontario Council of Health on the detection and management of hypertension in Canada, several clinical trials on the efficacy of antihypertensive drug treatment in patients with mild hypertension have been undertaken. The Canadian Hypertension Society (CHS) felt that the results of these trials should be reviewed to determine whether existing recommendations on treatment should be changed. Three expert panels appointed by the CHS reviewed evidence on the clinical efficacy of antihypertensive therapy, the diagnosis of hypertension and the treatment of mild hypertension, and formulated recommendations on the care of mildly hypertensive patients in Canada. A consensus conference of biomedical scientists, practising physicians and government representatives reviewed and reached agreement on the panels'' recommendations. The final recommendations of the conference are presented in this report.     

How to Push Forward Science and Technology in China——About Research, Development，and Technological Innovation

It is out of question that China has achieved considerable advancements in science and technology. The worldwide spread of ＂Made in China＂ that gets on the western countries＇ nerves is a good illustration. However, although comparatively better than some other developing countries, we have to face the situation that science and technology in such a great nation as China is still seriously lagged behind, lacking great breakthroughs and top-ranking masters and leaders. That＇s why we feel uneasy in front of international colleagues.     

Multiple sequence alignment by consensus.

An algorithm for multiple sequence alignment is given that matches words of length and degree of mismatch chosen by the user. The alignment maximizes an alignment scoring function. The method is based on a novel extension of our consensus sequence methods. The algorithm works for both DNA and protein sequences, and from earlier work on consensus sequences, it is possible to estimate statistical significance.     

An effective and safe innovation for the management of vault prolapse

Objective

Considering the great variety of techniques and disagreement about the ideal route, there is a need for a simple, safe and effective method for the management of vault prolapse.

Study Design

51 cases of post- hysterectomy vault prolapse: 45 following vaginal and 6 after total abdominal hysterectomy were treated surgically by anterior abdominal wall colpopexy with autogenous rectus fascia strips.

Results

Except for minor complaints like vomiting, fever and urinary retention in 3.92% cases each (n = 2 each), no major complications were encountered. Moreover, no recurrence, thus far, on follow-up.

Conclusion

Using autogenous rectus fascia strips in anterior abdominal wall colpopexy is not only simple, cheap and effective method of treating apical prolapse but is also devoid of any serious complications as described with other techniques.     

e-Health in cardiology: How to cure the infarcted innovation implementation

Netherlands Heart Journal -     

International consensus guidelines 2012 for the management of IPMN and MCN of the pancreas

The international consensus guidelines for management of intraductal papillary mucinous neoplasm and mucinous cystic neoplasm of the pancreas established in 2006 have increased awareness and improved the management of these entities. During the subsequent 5 years, a considerable amount of information has been added to the literature. Based on a consensus symposium held during the 14th meeting of the International Association of Pancreatology in Fukuoka, Japan, in 2010, the working group has generated new guidelines. Since the levels of evidence for all items addressed in these guidelines are low, being 4 or 5, we still have to designate them "consensus", rather than "evidence-based", guidelines. To simplify the entire guidelines, we have adopted a statement format that differs from the 2006 guidelines, although the headings are similar to the previous guidelines, i.e., classification, investigation, indications for and methods of resection and other treatments, histological aspects, and methods of follow-up. The present guidelines include recent information and recommendations based on our current understanding, and highlight issues that remain controversial and areas where further research is required.     

How to reach linguistic consensus: a proof of convergence for the naming game

In this paper we introduce a mathematical model of naming games. Naming games have been widely used within research on the origins and evolution of language. Despite the many interesting empirical results these studies have produced, most of this research lacks a formal elucidating theory. In this paper we show how a population of agents can reach linguistic consensus, i.e. learn to use one common language to communicate with one another. Our approach differs from existing formal work in two important ways: one, we relax the too strong assumption that an agent samples infinitely often during each time interval. This assumption is usually made to guarantee convergence of an empirical learning process to a deterministic dynamical system. Two, we provide a proof that under these new realistic conditions, our model converges to a common language for the entire population of agents. Finally the model is experimentally validated.     

Bacterial disease management: challenges,experience, innovation and future prospects

Plant diseases caused by bacterial pathogens place major constraints on crop production and cause significant annual losses on a global scale. The attainment of consistent effective management of these diseases can be extremely difficult, and management potential is often affected by grower reliance on highly disease‐susceptible cultivars because of consumer preferences, and by environmental conditions favouring pathogen development. New and emerging bacterial disease problems (e.g. zebra chip of potato) and established problems in new geographical regions (e.g. bacterial canker of kiwifruit in New Zealand) grab the headlines, but the list of bacterial disease problems with few effective management options is long. The ever‐increasing global human population requires the continued stable production of a safe food supply with greater yields because of the shrinking areas of arable land. One major facet in the maintenance of the sustainability of crop production systems with predictable yields involves the identification and deployment of sustainable disease management solutions for bacterial diseases. In addition, the identification of novel management tactics has also come to the fore because of the increasing evolution of resistance to existing bactericides. A number of central research foci, involving basic research to identify critical pathogen targets for control, novel methodologies and methods of delivery, are emerging that will provide a strong basis for bacterial disease management into the future.

• Near‐term solutions are desperately needed. Are there replacement materials for existing bactericides that can provide effective disease management under field conditions?
• Experience should inform the future. With prior knowledge of bactericide resistance issues evolving in pathogens, how will this affect the deployment of newer compounds and biological controls?
• Knowledge is critical. A comprehensive understanding of bacterial pathosystems is required to not only identify optimal targets in the pathogens, but also optimal seasonal timings for deployment.
• Host resistance to effectors must be exploited, carefully and correctly. Are there other candidate genes that could be targeted in transgenic approaches? How can new technologies (CRISPR, TALEN, etc.) be most effectively used to add sustainable disease resistance to existing commercially desirable plant cultivars?
• We need an insider's perspective on the management of systemic pathogens. In addition to host resistance or reduced sensitivity, are there other methods that can be used to target these pathogen groups?
• Biological systems are variable. Can biological control strategies be improved for bacterial disease management and be made more predictable in function?

The answers to the research foci outlined above are not all available, as will become apparent in this article, but we are heading in the right direction. In this article, we summarize the contributions from past experiences in bacterial disease management, and also describe how advances in bacterial genetics, genomics and host–pathogen interactions are informing novel strategies in virulence inhibition and in host resistance. We also outline potential innovations that could be exploited as the pressures to maximize a safe and productive food supply continue to become more numerous and more complex.