The Effects of High Pressure on the Point of No Return in Simulated Penalty Kicks

We investigated the effects of high pressure on the point of no return or the minimum time required for a kicker to respond to the goalkeeper's dive in a simulated penalty kick task. The goalkeeper moved to one side with different times available for the participants to direct the ball to the opposite side in low-pressure (acoustically isolated laboratory) and high-pressure situations (with a participative audience). One group of participants showed a significant lengthening of the point of no return under high pressure. With less time available, performance was at chance level. Unexpectedly, in a second group of participants, high pressure caused a qualitative change in which for short times available participants were inclined to aim in the direction of the goalkeeper's move. The distinct effects of high pressure are discussed within attentional control theory to reflect a decreasing efficiency of the goal-driven attentional system, slowing down performance, and a decreasing effectiveness in inhibiting stimulus-driven behavior.

Examination of the performance of different pointwise linear regression progression criteria to detect glaucomatous visual field change

Background: We aimed to investigate the performance of five different trend analysis criteria for the detection of glaucomatous progression and to determine the most frequently and rapidly progressing locations of the visual field. Design: Retrospective cohort. Participants or Samples: Treated glaucoma patients with =8 Swedish Interactive Thresholding Algorithm (SITA)-standard 24-2 visual field tests. Methods: Progression was determined using trend analysis. Five different criteria were used: (A) =1 significantly progressing point; (B) =2 significantly progressing points; (C) =2 progressing points located in the same hemifield; (D) at least two adjacent progressing points located in the same hemifield; (E) =2 progressing points in the same Garway-Heath map sector. Main Outcome Measures: Number of progressing eyes and false-positive results. Results: We included 587 patients. The number of eyes reaching a progression endpoint using each criterion was: A = 300 (51%); B = 212 (36%); C = 194 (33%); D = 170 (29%); and E = 186 (31%) (P = 0.03). The numbers of eyes with positive slopes were: A = 13 (4.3%); B = 3 (1.4%); C = 3 (1.5%); D = 2 (1.1%); and E = 3 (1.6%) (P = 0.06). The global slopes for progressing eyes were more negative in Groups B, C and D than in Group A (P = 0.004). The visual field locations that progressed more often were those in the nasal field adjacent to the horizontal midline. Conclusions: Pointwise linear regression criteria that take into account the retinal nerve fibre layer anatomy enhances the specificity of trend analysis for the detection glaucomatous visual field progression.

The assessment of change in rural landscape and the analysis of the driving forces. Proposal of a spatial model for the rural built environment

The presented study carried out an analysis on rural landscape changes. In particular the study focuses on the understanding of driving forces acting on the rural built environment using a statistical spatial model implemented through GIS techniques. It is well known that the study of landscape changes is essential for a conscious decision making in land planning. From a bibliography review results a general lack of studies dealing with the modeling of rural built environment and hence a theoretical modelling approach for such purpose is needed. The advancement in technology and modernity in building construction and agriculture have gradually changed the rural built environment. In addition, the phenomenon of urbanization of a determined the construction of new volumes that occurred beside abandoned or derelict rural buildings. Consequently there are two types of transformation dynamics affecting mainly the rural built environment that can be observed: the conversion of rural buildings and the increasing of building numbers. It is the specific aim of the presented study to propose a methodology for the development of a spatial model that allows the identification of driving forces that acted on the behaviours of the building allocation. In fact one of the most concerning dynamic nowadays is related to an irrational expansion of buildings sprawl across landscape. The proposed methodology is composed by some conceptual steps that cover different aspects related to the development of a spatial model: the selection of a response variable that better describe the phenomenon under study, the identification of possible driving forces, the sampling methodology concerning the collection of data, the most suitable algorithm to be adopted in relation to statistical theory and method used, the calibration process and evaluation of the model. A different combination of factors in various parts of the territory generated favourable or less favourable conditions for the building allocation and the existence of buildings represents the evidence of such optimum. Conversely the absence of buildings expresses a combination of agents which is not suitable for building allocation. Presence or absence of buildings can be adopted as indicators of such driving conditions, since they represent the expression of the action of driving forces in the land suitability sorting process. The existence of correlation between site selection and hypothetical driving forces, evaluated by means of modeling techniques, provides an evidence of which driving forces are involved in the allocation dynamic and an insight on their level of influence into the process. GIS software by means of spatial analysis tools allows to associate the concept of presence and absence with point futures generating a point process. Presence or absence of buildings at some site locations represent the expression of these driving factors interaction. In case of presences, points represent locations of real existing buildings, conversely absences represent locations were buildings are not existent and so they are generated by a stochastic mechanism. Possible driving forces are selected and the existence of a causal relationship with building allocations is assessed through a spatial model. The adoption of empirical statistical models provides a mechanism for the explanatory variable analysis and for the identification of key driving variables behind the site selection process for new building allocation. The model developed by following the methodology is applied to a case study to test the validity of the methodology. In particular the study area for the testing of the methodology is represented by the New District of Imola characterized by a prevailing agricultural production vocation and were transformation dynamic intensively occurred. The development of the model involved the identification of predictive variables (related to geomorphologic, socio-economic, structural and infrastructural systems of landscape) capable of representing the driving forces responsible for landscape changes.. The calibration of the model is carried out referring to spatial data regarding the periurban and rural area of the study area within the 1975-2005 time period by means of Generalised linear model. The resulting output from the model fit is continuous grid surface where cells assume values ranged from 0 to 1 of probability of building occurrences along the rural and periurban area of the study area. Hence the response variable assesses the changes in the rural built environment occurred in such time interval and is correlated to the selected explanatory variables by means of a generalized linear model using logistic regression. Comparing the probability map obtained from the model to the actual rural building distribution in 2005, the interpretation capability of the model can be evaluated. The proposed model can be also applied to the interpretation of trends which occurred in other study areas, and also referring to different time intervals, depending on the availability of data. The use of suitable data in terms of time, information, and spatial resolution and the costs related to data acquisition, pre-processing, and survey are among the most critical aspects of model implementation. Future in-depth studies can focus on using the proposed model to predict short/medium-range future scenarios for the rural built environment distribution in the study area. In order to predict future scenarios it is necessary to assume that the driving forces do not change and that their levels of influence within the model are not far from those assessed for the time interval used for the calibration.

The massless two-loop two-point function and zeta functions in counterterms of Feynman diagrams

The main part of this thesis describes a method of calculating the massless two-loop two-point function which allows expanding the integral up to an arbitrary order in the dimensional regularization parameter epsilon by rewriting it as a double Mellin-Barnes integral. Closing the contour and collecting the residues then transforms this integral into a form that enables us to utilize S. Weinzierl's computer library nestedsums. We could show that multiple zeta values and rational numbers are sufficient for expanding the massless two-loop two-point function to all orders in epsilon. We then use the Hopf algebra of Feynman diagrams and its antipode, to investigate the appearance of Riemann's zeta function in counterterms of Feynman diagrams in massless Yukawa theory and massless QED. The class of Feynman diagrams we consider consists of graphs built from primitive one-loop diagrams and the non-planar vertex correction, where the vertex corrections only depend on one external momentum. We showed the absence of powers of pi in the counterterms of the non-planar vertex correction and diagrams built by shuffling it with the one-loop vertex correction. We also found the invariance of some coefficients of zeta functions under a change of momentum flow through these vertex corrections.

A Bayesian changepoint analysis on spatio-temporal point processes

Changepoint analysis is a well established area of statistical research, but in the context of spatio-temporal point processes it is as yet relatively unexplored. Some substantial differences with regard to standard changepoint analysis have to be taken into account: firstly, at every time point the datum is an irregular pattern of points; secondly, in real situations issues of spatial dependence between points and temporal dependence within time segments raise. Our motivating example consists of data concerning the monitoring and recovery of radioactive particles from Sandside beach, North of Scotland; there have been two major changes in the equipment used to detect the particles, representing known potential changepoints in the number of retrieved particles. In addition, offshore particle retrieval campaigns are believed may reduce the particle intensity onshore with an unknown temporal lag; in this latter case, the problem concerns multiple unknown changepoints. We therefore propose a Bayesian approach for detecting multiple changepoints in the intensity function of a spatio-temporal point process, allowing for spatial and temporal dependence within segments. We use Log-Gaussian Cox Processes, a very flexible class of models suitable for environmental applications that can be implemented using integrated nested Laplace approximation (INLA), a computationally efficient alternative to Monte Carlo Markov Chain methods for approximating the posterior distribution of the parameters. Once the posterior curve is obtained, we propose a few methods for detecting significant change points. We present a simulation study, which consists in generating spatio-temporal point pattern series under several scenarios; the performance of the methods is assessed in terms of type I and II errors, detected changepoint locations and accuracy of the segment intensity estimates. We finally apply the above methods to the motivating dataset and find good and sensible results about the presence and quality of changes in the process.

Detection of complex point targets with distributed assets in a MIMO radar system

The report explores the problem of detecting complex point target models in a MIMO radar system. A complex point target is a mathematical and statistical model for a radar target that is not resolved in space, but exhibits varying complex reflectivity across the different bistatic view angles. The complex reflectivity can be modeled as a complex stochastic process whose index set is the set of all the bistatic view angles, and the parameters of the stochastic process follow from an analysis of a target model comprising a number of ideal point scatterers randomly located within some radius of the targets center of mass. The proposed complex point targets may be applicable to statistical inference in multistatic or MIMO radar system. Six different target models are summarized here – three 2-dimensional (Gaussian, Uniform Square, and Uniform Circle) and three 3-dimensional (Gaussian, Uniform Cube, and Uniform Sphere). They are assumed to have different distributions on the location of the point scatterers within the target. We develop data models for the received signals from such targets in the MIMO radar system with distributed assets and partially correlated signals, and consider the resulting detection problem which reduces to the familiar Gauss-Gauss detection problem. We illustrate that the target parameter and transmit signal have an influence on the detector performance through target extent and the SNR respectively. A series of the receiver operator characteristic (ROC) curves are generated to notice the impact on the detector for varying SNR. Kullback–Leibler (KL) divergence is applied to obtain the approximate mean difference between density functions the scatterers assume inside the target models to show the change in the performance of the detector with target extent of the point scatterers.

Past is Prologue: Montana’s Historic Women’s Movement Re-emerges in the Progressive 1970s -- Dorothy Bradley, Marilyn Wessel & Jane Jelinski “In the Crucible of Change”

One-hundred years ago, in 1914, male voters in Montana (MT) extended suffrage (voting rights) to women six years before the 19th Amendment to the US Constitution was ratified and provided that right to women in all states. The long struggle for women’s suffrage was energized in the progressive era and Jeanette Rankin of Missoula emerged as a leader of the campaign; in 1912 both major MT political party platforms supported women suffrage. In the 1914 election, 41,000 male voters supported woman suffrage while nearly 38,000 opposed it. MT was not only ahead of the curve on women suffrage, but just two years later in 1916 elected Jeanette Rankin as the first woman ever elected to the United States Congress. Rankin became a national leader for women's equality. In her commitment to equality, she opposed US entry into World War I, partially because she said she could not support men being made to go to war if women were not allowed to serve alongside them. During MT’s initial progressive era, women in MT not only pursued equality for themselves (the MT Legislature passed an equal pay act in 1919), but pursued other social improvements, such as temperance/prohibition. Well-known national women leaders such as Carrie Nation and others found a welcome in MT during the period. Women's role in the trade union movement was evidenced in MT by the creation of the Women's Protective Union in Butte, the first union in America dedicated solely to women workers. But Rankin’s defeat following her vote against World War I was used as a way for opponents to advocate a conservative, traditionalist perspective on women's rights in MT. Just as we then entered a period in MT where the “copper collar” was tightened around MT economically and politically by the Anaconda Company and its allies, we also found a different kind of conservative, traditionalist collar tightened around the necks of MT women. The recognition of women's role during World War II, represented by “Rosie the Riveter,” made it more difficult for that conservative, traditionalist approach to be forever maintained. In addition, women's role in MT agriculture – family farms and ranches -- spoke strongly to the concept of equality, as farm wives were clearly active partners in the agricultural enterprises. But rural MT was, by and large, the bastion of conservative values relative to the position of women in society. As the period of “In the Crucible of Change” began, the 1965 MT Legislature included only three women. In 1967 and 1969 only one woman legislator served. In 1971 the number went up to two, including one of our guests, Dorothy Bradley. It was only after the Constitutional Convention, which featured 19 women delegates, that the barrier was broken. The 1973 Legislature saw 9 women elected. The 1975 and 1977 sessions had 14 women legislators; 15 were elected for the 1979 session. At that time progressive women and men in the Legislature helped implement the equality provisions of the new MT Constitution, ratified the federal Equal Rights Amendment in 1974, and held back national and local conservatives forces which sought in later Legislatures to repeal that ratification. As with the national movement at the time, MT women sought and often succeeded in adopting legal mechanisms that protected women’s equality, while full equality in the external world remained (and remains) a treasured objective. The story of the re-emergence of Montana’s women’s movement in the 1970s is discussed in this chapter by three very successful and prominent women who were directly involved in the effort: Dorothy Bradley, Marilyn Wessel, and Jane Jelinski. Their recollections of the political, sociological and cultural path Montana women pursued in the 1970s and the challenges and opposition they faced provide an insider’s perspective of the battle for equality for women under the Big Sky “In the Crucible of Change.” Dorothy Bradley grew up in Bozeman, Montana; received her Bachelor of Arts Phi Beta Kappa from Colorado College, Colorado Springs, in 1969 with a Distinction in Anthropology; and her Juris Doctor from American University in Washington, D.C., in 1983. In 1970, at the age of 22, following the first Earth Day and running on an environmental platform, Ms. Bradley won a seat in the 1971 Montana House of Representatives where she served as the youngest member and only woman. Bradley established a record of achievement on environmental & progressive legislation for four terms, before giving up the seat to run a strong second to Pat Williams for the Democratic nomination for an open seat in Montana’s Western Congressional District. After becoming an attorney and an expert on water law, she returned to the Legislature for 4 more terms in the mid-to-late 1980s. Serving a total of eight terms, Dorothy was known for her leadership on natural resources, tax reform, economic development, and other difficult issues during which time she gained recognition for her consensus-building approach. Campaigning by riding her horse across the state, Dorothy was the Democratic nominee for Governor in 1992, losing the race by less than a percentage point. In 1993 she briefly taught at a small rural school next to the Northern Cheyenne Indian Reservation. She was then hired as the Director of the Montana University System Water Center, an education and research arm of Montana State University. From 2000 - 2008 she served as the first Gallatin County Court Administrator with the task of collaboratively redesigning the criminal justice system. She currently serves on One Montana’s Board, is a National Advisor for the American Prairie Foundation, and is on NorthWestern Energy’s Board of Directors. Dorothy was recognized with an Honorary Doctorate from her alma mater, Colorado College, was named Business Woman of the Year by the Bozeman Chamber of Commerce and MSU Alumni Association, and was Montana Business and Professional Women’s Montana Woman of Achievement. Marilyn Wessel was born in Iowa, lived and worked in Los Angeles, California, and Washington, D.C. before moving to Bozeman in 1972. She has an undergraduate degree in journalism from Iowa State University, graduate degree in public administration from Montana State University, certification from the Harvard University Institute for Education Management, and served a senior internship with the U.S. Congress, Montana delegation. In Montana Marilyn has served in a number of professional positions, including part-time editor for the Montana Cooperative Extension Service, News Director for KBMN Radio, Special Assistant to the President and Director of Communications at Montana State University, Director of University Relations at Montana State University and Dean and Director of the Museum of the Rockies at MSU. Marilyn retired from MSU as Dean Emeritus in 2003. Her past Board Service includes Montana State Merit System Council, Montana Ambassadors, Vigilante Theater Company, Montana State Commission on Practice, Museum of the Rockies, Helena Branch of the Ninth District Federal Reserve Bank, Burton K. Wheeler Center for Public Policy, Bozeman Chamber of Commerce, and Friends of KUSM Public Television. Marilyn’s past publications and productions include several articles on communications and public administration issues as well as research, script preparation and presentation of several radio documentaries and several public television programs. She is co-author of one book, 4-H An American Idea: A History of 4-H. Marilyn’s other past volunteer activities and organizations include Business and Professional Women, Women's Political Caucus, League of Women Voters, and numerous political campaigns. She is currently engaged professionally in museum-related consulting and part-time teaching at Montana State University as well as serving on the Editorial Board of the Bozeman Daily Chronicle and a member of Pilgrim Congregational Church and Family Promise. Marilyn and her husband Tom, a retired MSU professor, live in Bozeman. She enjoys time with her children and grandchildren, hiking, golf, Italian studies, cooking, gardening and travel. Jane Jelinski is a Wisconsin native, with a BA from Fontbonne College in St. Louis, MO who taught fifth and seventh grades prior to moving to Bozeman in 1973. A stay-at-home mom with a five year old daughter and an infant son, she was promptly recruited by the Gallatin Women’s Political Caucus to conduct a study of Sex-Role Stereotyping in K Through 6 Reading Text Books in the Bozeman School District. Sociologist Dr. Louise Hale designed the study and did the statistical analysis and Jane read all the texts, entered the data and wrote the report. It was widely disseminated across Montana and received attention of the press. Her next venture into community activism was to lead the successful effort to downzone her neighborhood which was under threat of encroaching business development. Today the neighborhood enjoys the protections of a Historic Preservation District. During this time she earned her MPA from Montana State University. Subsequently Jane founded the Gallatin Advocacy Program for Developmentally Disabled Adults in 1978 and served as its Executive Director until her appointment to the Gallatin County Commission in 1984, a controversial appointment which she chronicled in the Fall issue of the Gallatin History Museum Quarterly. Copies of the issue can be ordered through: http://gallatinhistorymuseum.org/the-museum-bookstore/shop/. Jane was re-elected three times as County Commissioner, serving fourteen years. She was active in the Montana Association of Counties (MACO) and was elected its President in 1994. She was also active in the National Association of Counties, serving on numerous policy committees. In 1998 Jane resigned from the County Commission 6 months before the end of her final term to accept the position of Assistant Director of MACO, from where she lobbied for counties, provided training and research for county officials, and published a monthly newsletter. In 2001 she became Director of the MSU Local Government Center where she continued to provide training and research for county and municipal officials across MT. There she initiated the Montana Mayors Academy in partnership with MMIA. She taught State and Local Government, Montana Politics and Public Administration in the MSU Political Science Department before retiring in 2008. Jane has been married to Jack for 46 years, has two grown children and three grandchildren.

Changes in species composition in alpine snowbeds with climate change inferred from small-scale spatial patterns

Alpine snowbeds are characterised by a very short growing season. However, the length of the snow-free period is increasingly prolonged due to climate change, so that snowbeds become susceptible to invasions from neighbouring alpine meadow communities. We hypothesised that spatial distribution of species generated by plant interactions may indicate whether snowbed species will coexist with or will be out-competed by invading alpine species – spatial aggregation or segregation will point to coexistence or competitive exclusion, respectively. We tested this hypothesis in snowbeds of the Swiss Alps using the variance ratio statistics. We focused on the relationships between dominant snowbed species, subordinate snowbed species, and potentially invading alpine grassland species. Subordinate snowbed species were generally spatially aggregated with each other, but were segregated from alpine grassland species. Competition between alpine grassland and subordinate snowbed species may have caused this segregation. Segregation between these species groups increased with earlier snowmelt, suggesting an increasing importance of competition with climate change. Further, a dominant snowbed species (Alchemilla pentaphyllea) was spatially aggregated with subordinate snowbed species, while two other dominants (Gnaphalium supinum and Salix herbacea) showed aggregated patterns with alpine grassland species. These dominant species are known to show distinct microhabitat preferences suggesting the existence of hidden microhabitats with different susceptibility to invaders. These results allow us to suggest that alpine snowbed areas are likely to be reduced as a consequence of climate change and that invading species from nearby alpine grasslands could outcompete subordinate snowbed species. On the other hand, microhabitats dominated by Gnaphalium or Salix seem to be particularly prone to invasions by non-snowbed species.

Cost-effectiveness of point-of-care viral load monitoring of antiretroviral therapy in resource-limited settings: mathematical modelling study

BACKGROUND Monitoring of HIV viral load in patients on combination antiretroviral therapy (ART) is not generally available in resource-limited settings. We examined the cost-effectiveness of qualitative point-of-care viral load tests (POC-VL) in sub-Saharan Africa. DESIGN Mathematical model based on longitudinal data from the Gugulethu and Khayelitsha township ART programmes in Cape Town, South Africa. METHODS Cohorts of patients on ART monitored by POC-VL, CD4 cell count or clinically were simulated. Scenario A considered the more accurate detection of treatment failure with POC-VL only, and scenario B also considered the effect on HIV transmission. Scenario C further assumed that the risk of virologic failure is halved with POC-VL due to improved adherence. We estimated the change in costs per quality-adjusted life-year gained (incremental cost-effectiveness ratios, ICERs) of POC-VL compared with CD4 and clinical monitoring. RESULTS POC-VL tests with detection limits less than 1000 copies/ml increased costs due to unnecessary switches to second-line ART, without improving survival. Assuming POC-VL unit costs between US$5 and US$20 and detection limits between 1000 and 10,000 copies/ml, the ICER of POC-VL was US$4010-US$9230 compared with clinical and US$5960-US$25540 compared with CD4 cell count monitoring. In Scenario B, the corresponding ICERs were US$2450-US$5830 and US$2230-US$10380. In Scenario C, the ICER ranged between US$960 and US$2500 compared with clinical monitoring and between cost-saving and US$2460 compared with CD4 monitoring. CONCLUSION The cost-effectiveness of POC-VL for monitoring ART is improved by a higher detection limit, by taking the reduction in new HIV infections into account and assuming that failure of first-line ART is reduced due to targeted adherence counselling.

Evidence based check-up: the general medical point of view

Check-up is a frequent motivation for patients to see their general practitioner. The challenge lies in the choice of screening tools to accomplish an efficient, individual and age-adapted approach. In this article we review evidence-based screening methods, whose efficacy has been demonstrated by randomized clinical trials, as well as their application in clinical practice. While cardiovascular check-up has a high grade of evidence for nearly all patients, counselling to lifestyle change except for smoking cessation has been proved with lower evidence. In contrast, relatively new is the fact that ultrasound to screen for an abdominal aortic aneurysm is useful among men smokers or past smokers between 65 and 75 years old.

Comment on “The phase relation between atmospheric carbon dioxide and global temperature” Humlum et al. [Glob. Planet. Change 100: 51–69.]: Isotopes ignored

A recent study relying purely on statistical analysis of relatively short time series suggested substantial re-thinking of the traditional view about causality explaining the detected rising trend of atmospheric CO2 (atmCO2) concentrations. If these results are well-justified then they should surely compel a fundamental scientific shift in paradigms regarding both atmospheric greenhouse warming mechanism and global carbon cycle. However, the presented work suffers from serious logical deficiencies such as, 1) what could be the sink for fossil fuel CO2 emissions, if neither the atmosphere nor the ocean – as suggested by the authors – plays a role? 2) What is the alternative explanation for ocean acidification if the ocean is a net source of CO2 to the atmosphere? Probably the most provocative point of the commented study is that anthropogenic emissions have little influence on atmCO2 concentrations. The authors have obviously ignored the reconstructed and directly measured carbon isotopic trends of atmCO2 (both δ13C, and radiocarbon dilution) and the declining O2/N2 ratio, although these parameters provide solid evidence that fossil fuel combustion is the major source of atmCO2 increase throughout the Industrial Era.

Agroecosystem resilience and farmers’ perceptions of climate change impacts on cocoa farms in Alto Beni, Bolivia

Cocoa-based small-scale agriculture is the most important source of income for most farming families in the region of Alto Beni in the sub-humid foothills of the Andes. Cocoa is grown in cultivation systems of varying ecological complexity. The plantations are highly susceptible to climate change impacts. Local cocoa producers mention heat waves, droughts, floods and plant diseases as the main impacts affecting plants and working conditions, and they associate these impacts with global climate change. From a sustainable regional development point of view, cocoa farms need to become more resilient in order to cope with the climate change related effects that are putting cocoa-based livelihoods at risk. This study assesses agroecosystem resilience under three different cocoa cultivation systems (successional agroforestry, simple agroforestry and common practice monocultures). In a first step, farmers’ perceptions of climate change impacts were assessed and eight indicators of agroecological resilience were derived in a transdisciplinary process (focus groups and workshop) based on farmers’ and scientists’ knowledge. These indicators (soil organic matter, depth of Ah horizon, soil bulk density, tree species diversity, crop varieties diversity, ant species diversity, cocoa yields and infestation of cocoa trees with Moniliophthora perniciosa) were then surveyed on 15 cocoa farms and compared for the three different cultivation systems. Parts of the socio-economic aspects of resilience were covered by evaluating the role of cocoa cooperatives and organic certification in transitioning to more resilient cocoa farms (interviews with 15 cocoa farmers combined with five expert interviews). Agroecosystem resilience was higher under the two agroforestry systems than under common practice monoculture, especially under successional agroforestry. Both agroforestry systems achieved higher cocoa yields than common practice monoculture due to agroforestry farmers’ enhanced knowledge regarding cocoa cultivation. Knowledge sharing was promoted by local organizations facilitating organic certification. These organizations were thus found to enhance the social process of farmers’ integration into cooperatives and their reorientation toward organic principles and diversified agroforestry.

Psychiatric severity and behavior change in alcoholism

Individuals who are diagnosed with a chronic mental illness and an alcohol use disorder comprise a high risk population that challenges the mental health care system. Effective treatment for the dually diagnosed, who are characterized by heterogeneity in their psychiatric diagnoses, their substance use patterns, and their current degree of dysfunction, presents a challenge. Several integrated treatment models have been developed that attempt to concurrently treat patients' psychiatric and substance abuse problems. At this point in the development of these "dual diagnosis" programs, treatment planning is hindered by a lack of knowledge about the relation of psychiatric severity to the process of recovery from alcohol abuse and dependence.^ The present study sought to advance the field's understanding of the relation between psychiatric severity and the process of behavior change through an examination of the relation between dimensions of psychiatric severity and Prochaska and DiClemente's Transtheoretical Model (TTM) constructs. The TTM, which focuses on identifying the processes of change that appear to underlie the modification of addictive behaviors, provides a way of conceptualizing and measuring specific elements relevant to the desired behavior change. Knowledge of the relation between these constructs and psychiatric severity will enable treatment planners to develop dual diagnosis programs which target clients' needs with a much higher level of specificity.^ One hundred-thirty two alcohol dependent patients in a dual diagnosis treatment program were assessed on psychiatric severity (defined as number of symptoms and level of distress resulting from symptoms) and the Transtheoretical Model constructs. The constructs include stages and processes of change for alcohol use, alcohol decisional balance, and alcohol abstinence self-efficacy. Results indicate that the TTM variable of "temptation to drink" is most strongly related to psychiatric severity: the more psychiatric distress a person is experiencing, the more he or she is tempted to drink. The "cons" of drinking were also related to psychiatric severity, indicating that participants who were experiencing more psychiatric distress also endorsed as important a higher number of the negative aspects of drinking.^ Additional aims of this investigation were to determine whether participants' scores on the Transtheoretical Model variables were associated with their: (a) severity of drinking, defined as frequency, quantity and consequences of use, (b) previous psychiatric and substance abuse treatment episodes, and (c) functional impairment. Associations were found among these variables and each of the key constructs of the Transtheoretical Model. Each association is explored in detail and implications for treatment programming are discussed. ^

A point mutation in cpsE renders Streptococcus pneumoniae nonencapsulated and enhances its growth, adherence and competence

BackgroundThe polysaccharide capsule is a major virulence factor of the important human pathogen Streptococcus pneumoniae. However, S. pneumoniae strains lacking capsule do occur.ResultsHere, we report a nasopharyngeal isolate of Streptococcus pneumoniae composed of a mixture of two phenotypes; one encapsulated (serotype 18C) and the other nonencapsulated, determined by serotyping, electron microscopy and fluorescence isothiocyanate dextran exclusion assay.By whole genome sequencing, we demonstrated that the phenotypes differ by a single nucleotide base pair in capsular gene cpsE (C to G change at gene position 1135) predicted to result in amino acid change from arginine to glycine at position 379, located in the cytoplasmic, enzymatically active, region of this transmembrane protein. This SNP is responsible for loss of capsule production as the phenotype is transferred with the capsule operon. The nonencapsulated variant is superior in growth in vitro and is also 117-fold more adherent to and more invasive into Detroit 562 human epithelial cells than the encapsulated variant.Expression of six competence pathway genes and one competence-associated gene was 11 to 34-fold higher in the nonencapsulated variant than the encapsulated and transformation frequency was 3.7-fold greater.ConclusionsWe identified a new single point mutation in capsule gene cpsE of a clinical S. pneumoniae serotype 18C isolate sufficient to cause loss of capsule expression resulting in the co-existence of the encapsulated and nonencapsulated phenotype. The mutation caused phenotypic changes in growth, adherence to epithelial cells and transformability. Mutation in capsule gene cpsE may be a way for S. pneumoniae to lose its capsule and increase its colonization potential.

Adapting agricultural water governance to climate change: Experiences from Germany, Spain and California

This study describes and discusses initiatives taken by public (water) agencies in the state of Brandenburg in Germany, the state of California in the USA and the Ebro River Basin in Spain in response to the challenges which climate change poses for the agricultural water sector. The drivers and actors and the process of changing agricultural water governance are its particular focus. The assumptions discussed are: (i) the degree of planned and anticipatory top-down implementation processes decreases if actions are more decentralized and are introduced at the regional and local level; (ii) the degree of autonomous and responsive adaptation approaches seems to grow with actions at a lower administrative level. Looking at processes of institutional change, a variety of drivers and actors are at work such as changing perceptions of predicted climate impacts; international obligations which force politicians to take action; socio-economic concerns such as the cost of not taking action; the economic interests of the private sector. Drivers are manifold and often interact and, in many cases, reforms in the sector are driven by and associated with larger reform agendas. The results of the study may serve as a starting point in assisting water agencies in developing countries with the elaboration of coping strategies for tackling climate change-induced risks related to agricultural water management.