Obstacle courses… nature, recreation, and health abstract

Obstacle courses are an activity that brings a group of people together, in which teams are organized to navigate an established route during a set period of time, completing tasks (clues, riddles, or challenges) to meet a defined goal.  Rules and safety norms are explained to all participants; however, they are not informed of the location of the clues, riddles, or challenges.  The following should be considered when organizing an obstacle course: objective, topic to be developed, location, materials needed, clues, riddles or challenges that may be included, and how to supervise that all teams pass the checkpoints.  Like any other activity with a touch of competitiveness, fair play and respect should be above any interest.  If, for any reason, any of the teams has an emergency, solidarity should prevail, and the activity can be used to teach values.  An adventurous spirit is also essential in this activity.  The desire for the unknown and the new challenges individuals and groups.  This activity helps groups of friends, children, adults, families, etc. share a nice and healthy day together in contact with nature, rescuing concepts such as cooperation, cleverness and, particularly, team work.

Determination of factors related to the abandonment of the practice of swimming by former costa rican swimmers

The objective of this study was to determine the importance of different dimensions as the possible causes for the abandonment of the practice of swimming by former Costa Rican swimmers.  Subjects: 51 former swimmers participated, including 17 men (22 ±3.4 years of age) and 34 women (22.5 ±3.4 years of age) from different Costa Rican swimming teams.  The Questionnaire of Reasons for Attrition in the Practice of Sports (Gould et al, 1982; cited by Salguero, Tuero, and Márquez, 2003) was used.  Results:  A positive relationship was noted between perceptions of low skill and low performance (r: 0.372), while negative relationships were noted between years of practice and low skill (r:-0.337), years of practice and influence from others (r:-0.286), and years of practice and starting age for swimming (r:-0.622).  A significant interaction was found in the dimensions gender of participants (F: 2.952; p<0.05) and starting age for swimming (F: 3.147; p<0.01).  An interaction was also found between dimensions and the desire to swim again (F: 2.485; p>0.05).  There were also significant differences in the years of practice; that is, subjects who started before the age of 10 had a higher average of years of practice than those who started later (F: 21.465; p<0.05).  Additionally, a significant interaction was found in weekly hours of swimming practice (F: 2.072; p<0.05).  There were no significant differences (F: 2.535; p>0.05) according to weekly hours of training when subjects were actively swimming. Conclusions: Possible reasons for dropping out were lack of enjoyment and poor physical condition for men and perception of lack of team spirit for women.  The group that started after the age of ten gives similar importance to all the dimensions as possible reasons for dropping out, while the group that began swimming before the age of ten sees lack of team spirit, lack of enjoyment, and poor physical condition as the key reasons for dropping out.  The most important dimensions that represented the reasons for abandonment in subjects who wanted to swim again were lack of team spirit, poor physical condition and low skill, while lack of enjoyment was the most important reason for subjects who do not want to swim again.  In the group of subjects who would swim less than six hours, lack of team spirit is the most important cause, while the dimension lack of enjoyment was the most important reason for subjects who would swim 6 to 12 hours.  Additionally, the highest dropout percentages were observed in the transition from secondary school to college.

The genius of Christianity; or, The spirit and beauty of the Christian religion.

Preface dated 1856.

Objective evaluation of surgical competency for minimally invasive surgery with a collection of simple tests

Objective: This study aims at determining if a collection of 16 motor tests on a physical simulator can objectively discriminate and evaluate practitioners' competency level, i.e. novice, resident, and expert. Methods: An experimental design with three study groups (novice, resident, and expert) was developed to test the evaluation power of each of the 16 simple tests. An ANOVA and a Student Newman-Keuls (SNK) test were used to analyze results of each test to determine which of them can discriminate participants' competency level. Results: Four of the 16 tests used discriminated all of the three competency levels and 15 discriminated at least two of the three groups (α= 0.05). Moreover, other two tests differentiate beginners\' level from intermediate, and other seven tests differentiate intermediate level from expert. Conclusion: The competency level of a practitioner of minimally invasive surgery can be evaluated by a specific collection of basic tests in a physical surgical simulator. Reduction of the number of tests needed to discriminate the competency level of surgeons can be the aim of future research.

Dynamic Multi-Objective Optimization With jMetal and Spark: a Case Study

Technologies for Big Data and Data Science are receiving increasing research interest nowadays. This paper introduces the prototyping architecture of a tool aimed to solve Big Data Optimization problems. Our tool combines the jMetal framework for multi-objective optimization with Apache Spark, a technology that is gaining momentum. In particular, we make use of the streaming facilities of Spark to feed an optimization problem with data from different sources. We demonstrate the use of our tool by solving a dynamic bi-objective instance of the Traveling Salesman Problem (TSP) based on near real-time traffic data from New York City, which is updated several times per minute. Our experiment shows that both jMetal and Spark can be integrated providing a software platform to deal with dynamic multi-optimization problems.

Cognitive remission: a novel objective for the treatment of major depression?

BACKGROUND: Cognitive dysfunction in major depressive disorder (MDD) encompasses several domains, including but not limited to executive function, verbal memory, and attention. Furthermore, cognitive dysfunction is a frequent residual manifestation in depression and may persist during the remitted phase. Cognitive deficits may also impede functional recovery, including workforce performance, in patients with MDD. The overarching aims of this opinion article are to critically evaluate the effects of available antidepressants as well as novel therapeutic targets on neurocognitive dysfunction in MDD.

DISCUSSION: Conventional antidepressant drugs mitigate cognitive dysfunction in some people with MDD. However, a significant proportion of MDD patients continue to experience significant cognitive impairment. Two multicenter randomized controlled trials (RCTs) reported that vortioxetine, a multimodal antidepressant, has significant precognitive effects in MDD unrelated to mood improvement. Lisdexamfetamine dimesylate was shown to alleviate executive dysfunction in an RCT of adults after full or partial remission of MDD. Preliminary evidence also indicates that erythropoietin may alleviate cognitive dysfunction in MDD. Several other novel agents may be repurposed as cognitive enhancers for MDD treatment, including minocycline, insulin, antidiabetic agents, angiotensin-converting enzyme inhibitors, S-adenosyl methionine, acetyl-L-carnitine, alpha lipoic acid, omega-3 fatty acids, melatonin, modafinil, galantamine, scopolamine, N-acetylcysteine, curcumin, statins, and coenzyme Q10. The management of cognitive dysfunction remains an unmet need in the treatment of MDD. However, it is hoped that the development of novel therapeutic targets will contribute to 'cognitive remission', which may aid functional recovery in MDD.

Portfolio selection under higher moments using fuzzy multi-objective linear programming

Since asset returns have been recognized as not normally distributed, the avenue of research regarding portfolio higher moments soon emerged. To account for uncertainty and vagueness of portfolio returns as well as of higher moment risks, we proposed a new portfolio selection model employing fuzzy sets in this paper. A fuzzy multi-objective linear programming (MOLP) for portfolio optimization is formulated using marginal impacts of assets on portfolio higher moments, which are modelled by trapezoidal fuzzy numbers. Through a consistent centroid-based ranking of fuzzy numbers, the fuzzy MOLP is transformed into an MOLP that is then solved by the maximin method. By taking portfolio higher moments into account, the approach enables investors to optimize not only the normal risk (variance) but also the asymmetric risk (skewness) and the risk of fat-tails (kurtosis). An illustrative example demonstrates the efficiency of the proposed methodology comparing to previous portfolio optimization models.

Passages inclusifs : le réseau d'organismes communautaires autochtones de Montréal

This research aims to enrich the understanding of the constitution of a sense of belonging to an aboriginal community in Montreal. It has been demonstrated that there is indeed a social cohesion in Montreal based on the collective aboriginal ethnic identity, or aboriginality. This cohesion is supported by aboriginal organizations and associations, whise approaches and engagements have a direct impact on their inclusion into the community. These institutions are considered as the source of communitarian social bond in the city. By the empowerment of a shared aboriginal identity, the representation of community interests, the integration in the urban life, the service delivery to members of the middle class and the creation of secured spaces dedicated to their cultural heritage, aboriginal associations are creating social ties to the community. On the other hand, some problems like the lack of communication between organizations, their hermetic nature, their excessive bureaucratic methods, the way women in the community monopolize the institutions, the presence of non-aboriginal people as well as the gang phenomenon are all experienced in the organizations. These problems produce harmful consequences on the member’s relations to the communitarian system and reduce their participation and attendance. Also, the social bond within the native community is weakened by various factors outside the grasp of the institutions. Some internal discriminations and stereotypes, sometimes tied to the use of administrative indicators of the Canadian Aboriginal Law, the lack of a native district in Montreal, and the different socio-economic members’ situations create divisions and affect the community spirit. This thesis focuses on the native community construction in an urban area through its institutional sphere, which differs from other studies on urban Natives. The objective is to understand the urban realities and the way the urban native communities are developing themselves.

Passages inclusifs : le réseau d'organismes communautaires autochtones de Montréal

This research aims to enrich the understanding of the constitution of a sense of belonging to an aboriginal community in Montreal. It has been demonstrated that there is indeed a social cohesion in Montreal based on the collective aboriginal ethnic identity, or aboriginality. This cohesion is supported by aboriginal organizations and associations, whise approaches and engagements have a direct impact on their inclusion into the community. These institutions are considered as the source of communitarian social bond in the city. By the empowerment of a shared aboriginal identity, the representation of community interests, the integration in the urban life, the service delivery to members of the middle class and the creation of secured spaces dedicated to their cultural heritage, aboriginal associations are creating social ties to the community. On the other hand, some problems like the lack of communication between organizations, their hermetic nature, their excessive bureaucratic methods, the way women in the community monopolize the institutions, the presence of non-aboriginal people as well as the gang phenomenon are all experienced in the organizations. These problems produce harmful consequences on the member’s relations to the communitarian system and reduce their participation and attendance. Also, the social bond within the native community is weakened by various factors outside the grasp of the institutions. Some internal discriminations and stereotypes, sometimes tied to the use of administrative indicators of the Canadian Aboriginal Law, the lack of a native district in Montreal, and the different socio-economic members’ situations create divisions and affect the community spirit. This thesis focuses on the native community construction in an urban area through its institutional sphere, which differs from other studies on urban Natives. The objective is to understand the urban realities and the way the urban native communities are developing themselves.

Multi-objective optimization of material model parameters of an adhesive layer by using SPEA2

The usage of multi material structures in industry, especially in the automotive industry are increasing. To overcome the difficulties in joining these structures, adhesives have several benefits over traditional joining methods. Therefore, accurate simulations of the entire process of fracture including the adhesive layer is crucial. In this paper, material parameters of a previously developed meso mechanical finite element (FE) model of a thin adhesive layer are optimized using the Strength Pareto Evolutionary Algorithm (SPEA2). Objective functions are defined as the error between experimental data and simulation data. The experimental data is provided by previously performed experiments where an adhesive layer was loaded in monotonically increasing peel and shear. Two objective functions are dependent on 9 model parameters (decision variables) in total and are evaluated by running two FEsimulations, one is loading the adhesive layer in peel and the other in shear. The original study converted the two objective functions into one function that resulted in one optimal solution. In this study, however, a Pareto frontis obtained by employing the SPEA2 algorithm. Thus, more insight into the material model, objective functions, optimal solutions and decision space is acquired using the Pareto front. We compare the results and show good agreement with the experimental data.

Knowledge, spirit, law: book 1: radical scholarship

Knowledge, Spirit, Law is a de facto phenomenology of scholarship in the age of neoliberal capitalism. The eleven essays (plus Appendices) in Book 1: Radical Scholarship cover topics and circle themes related to the problems and crises specific to neoliberal academia, while proposing creative paths around the various obstructions. The obstructions include metrics-obsessed academia, circular and incestuous peer review, digitalization of research as stalking horse for text- and data-mining, and violation by global corporate fiat of Intellectual Property and the Moral Rights of Authors. These issues, while addressed obliquely in the main text, definitively inform the various proscriptive aspects of the essays and, via the Introduction and Appendices, underscore the necessity of developing new-old means to no obvious end in the production of knowledge — that is to say, a return to forms of non-instrumentalized intellectual inquiry. To be developed in two concurrent volumes, Knowledge, Spirit, Law will serve as a “moving and/or shifting anthology” of new forms of expression in humanistic studies. Book 2: The Anti-Capitalist Sublime will be published in Autumn 2016.

Control layer resource management in SDN-IoT networks using multi-objective constraint

Software Defined Networking (SDN) and Internet of Things (IoT) integration has thrown many critical challenges. Specifically, in heterogeneous SDN-IoT ecosystem, optimized resources utilization and effective management at the control layer is very difficult. This mainly affects the application specific Quality of Service (QoS) and energy consumption of the IoT network. Motivated from this, we propose a new Resource Management (RM) method at the control layer, in distributed SDN-IoT networks. This paper starts with reasons that why at control layer RM is more complex in the SDN-IoT ecosystem. After-that, we highlight motivated examples that necessitate to investigate new RM methods in SDN-IoT context. Further, we propose a novel method to compute controller performance. Theoretical analysis is conducted to prove that the proposed method is better than the existing methods.

The Scored Patient-Generated Subjective Global Assessment (PG-SGA) and its Association with Quality of Life in Ambulatory Patients Receiving Radiotherapy

OBJECTIVE: To evaluate the scored Patient-generated Subjective Global Assessment (PG-SGA) tool as an outcome measure in clinical nutrition practice and determine its association with quality of life (QoL). DESIGN: A prospective 4 week study assessing the nutritional status and QoL of ambulatory patients receiving radiation therapy to the head, neck, rectal or abdominal area. SETTING: Australian radiation oncology facilities. SUBJECTS: Sixty cancer patients aged 24-85 y. INTERVENTION: Scored PG-SGA questionnaire, subjective global assessment (SGA), QoL (EORTC QLQ-C30 version 3). RESULTS: According to SGA, 65.0% (39) of subjects were well-nourished, 28.3% (17) moderately or suspected of being malnourished and 6.7% (4) severely malnourished. PG-SGA score and global QoL were correlated (r=-0.66, P<0.001) at baseline. There was a decrease in nutritional status according to PG-SGA score (P<0.001) and SGA (P<0.001); and a decrease in global QoL (P<0.001) after 4 weeks of radiotherapy. There was a linear trend for change in PG-SGA score (P<0.001) and change in global QoL (P=0.003) between those patients who improved (5%) maintained (56.7%) or deteriorated (33.3%) in nutritional status according to SGA. There was a correlation between change in PG-SGA score and change in QoL after 4 weeks of radiotherapy (r=-0.55, P<0.001). Regression analysis determined that 26% of the variation of change in QoL was explained by change in PG-SGA (P=0.001). CONCLUSION: The scored PG-SGA is a nutrition assessment tool that identifies malnutrition in ambulatory oncology patients receiving radiotherapy and can be used to predict the magnitude of change in QoL.

Clinical Accuracy of the MedGem Indirect Calorimeter for Measuring Resting Energy Expenditure in Cancer Patients

OBJECTIVE: To compare, in patients with cancer and in healthy subjects, measured resting energy expenditure (REE) from traditional indirect calorimetry to a new portable device (MedGem) and predicted REE. DESIGN: Cross-sectional clinical validation study. SETTING: Private radiation oncology centre, Brisbane, Australia. SUBJECTS: Cancer patients (n = 18) and healthy subjects (n = 17) aged 37-86 y, with body mass indices ranging from 18 to 42 kg/m(2). INTERVENTIONS: Oxygen consumption (VO(2)) and REE were measured by VMax229 (VM) and MedGem (MG) indirect calorimeters in random order after a 12-h fast and 30-min rest. REE was also calculated from the MG without adjustment for nitrogen excretion (MGN) and estimated from Harris-Benedict prediction equations. Data were analysed using the Bland and Altman approach, based on a clinically acceptable difference between methods of 5%. RESULTS: The mean bias (MGN-VM) was 10% and limits of agreement were -42 to 21% for cancer patients; mean bias -5% with limits of -45 to 35% for healthy subjects. Less than half of the cancer patients (n = 7, 46.7%) and only a third (n = 5, 33.3%) of healthy subjects had measured REE by MGN within clinically acceptable limits of VM. Predicted REE showed a mean bias (HB-VM) of -5% for cancer patients and 4% for healthy subjects, with limits of agreement of -30 to 20% and -27 to 34%, respectively. CONCLUSIONS: Limits of agreement for the MG and Harris Benedict equations compared to traditional indirect calorimetry were similar but wide, indicating poor clinical accuracy for determining the REE of individual cancer patients and healthy subjects.

The Coming of Post-reflexive Society: Commodification and Language in Digital Capitalism

Language is a unique aspect of human communication because it can be used to discuss itself in its own terms. For this reason, human societies potentially have superior capacities of co-ordination, reflexive self-correction, and innovation than other animal, physical or cybernetic systems. However, this analysis also reveals that language is interconnected with the economically and technologically mediated social sphere and hence is vulnerable to abstraction, objectification, reification, and therefore ideology – all of which are antithetical to its reflexive function, whilst paradoxically being a fundamental part of it. In particular, in capitalism, language is increasingly commodified within the social domains created and affected by ubiquitous communication technologies. The advent of the so-called ‘knowledge economy’ implicates exchangeable forms of thought (language) as the fundamental commodities of this emerging system. The historical point at which a ‘knowledge economy’ emerges, then, is the critical point at which thought itself becomes a commodified ‘thing’, and language becomes its “objective” means of exchange. However, the processes by which such commodification and objectification occurs obscures the unique social relations within which these language commodities are produced. The latest economic phase of capitalism – the knowledge economy – and the obfuscating trajectory which accompanies it, we argue, is destroying the reflexive capacity of language particularly through the process of commodification. This can be seen in that the language practices that have emerged in conjunction with digital technologies are increasingly non-reflexive and therefore less capable of self-critical, conscious change.