Comparison Of Achievement Sport Systems Between Indonesia And China

Sport as a model of human creativity is a form of physical activity that has very complex dimensions, which undergo a systematic process in the form of all activities or efforts that can encourage, arouse, develop and foster one's physical and spiritual potential. as individuals or members of society. in the form of games, competitions/contests, and intensive physical activities to obtain recreation, victory, and peak potential. Sport is currently a trend or lifestyle for some of the general public, even to the point of becoming a basic need in life. National development through the development of sports in Indonesia in this reform era has become a strategic vehicle, especially improving the quality of human resources, as well as the formation of the character and character of the nation, in this paper many factors play a role in success in the field of sports, one of which the author wants to examine the differences and similarities between the performance sports system that runs in Indonesia and China. This study aims to compare the development of achievement sports systems carried out in Indonesia and China in order to improve the quality and competence of sports. This study uses a qualitative descriptive method with data collection techniques through documentation studies. The results of this study conclude that the government's contribution is needed in preparing winning strategies, training facilities, increasing competition opportunities and increasing resources that can be assisted by a team of academics and researchers from universities to find new techniques in training to support the maximum use of sport science. Keywords: achievement sports system, Indonesia, China.

“I’m Grateful, but Am I?”: The Exploration of Gratitude as a Complex Experience Among Malaysian Cancer Patients

Gratitude has gained attention among health researchers for its benefits among chronic illness. However, most of the studies were focusing on the positive effects, neglecting the complex dimensions of gratitude that can contribute to both opportunities and challenges for chronic illness patients. This study aims to understand gratitude among cancer patients in Malaysia from a sociocultural perspective. This includes understanding how cancer patients view gratitude and the impacts of gratitude throughout their cancer-battling journey. This qualitative study involved 35 cancer patients. A thematic analysis was done to analyze the collected data. Among the themes discovered were searching for meaning, meaningful experience, gratitude through the enrichment activities, and gratitude as religious cultural expectations. This study suggests that gratitude is an important experience for chronic illness patients. The ability to understand this experience is vital to support and empower the patients throughout their daily lives.

A Critical Review of Social Resilience Properties and Pathways in Disaster Management

Resilience as a concept is multi-faceted with complex dimensions. In a disaster context, there is lack of consistency in conceptualizing social resilience. This results in ambiguity of its definition, properties, and pathways for assessment. A number of key research gaps exist for critically reviewing social resilience conceptualization, projecting resilience properties in a disaster-development continuum, and delineating a resilience trajectory in a multiple disaster timeline. This review addressed these research gaps by critically reviewing social resilience definitions, properties, and pathways. The review found four variations in social resilience definitions, which recognize the importance of abilities of social systems and processes in disaster phases at different levels. A review of resilience properties and pathways in the disaster resilience literature suggested new resilience properties—“risk-sensitivity” and “regenerative” in the timeline of two consecutive disasters. This review highlights a causal pathway for social resilience to better understand the resilience status in a multi-shock scenario by depicting inherent and adaptive resilience for consecutive disaster scenarios and a historical case study for a resilience trajectory in a multiple disaster timeline. The review findings will assist disaster management policymakers and practitioners to formulate appropriate resilience enhancement strategies within a holistic framework in a multi-disaster timeline.

A Conceptualization Framework of Allyship: Bidirectional Allyship Between Black Heterosexual Women and White Gay Males

Allyship is a complicated idea laden with multiple, layered assumptions. One should not presume that allyship conceptually permeates all social justice movements. One should not presume that allyships develop to combat or dismantle a predefined socially constructed ism. A critical interrogation of allyship and allyship constructions necessitates recognition of broader, universal tenets of allyships anywhere. This must go further to embrace the nuanced, situated, dynamic, critically problematic, and complex dimensions rooted in individual lived experiences intersecting multiple marginalizations which contribute as praxis toward an actualizing of individual allyships. Although we will blur constructed distinctions as we progress, here, we endeavor to surface and deliberate upon the derivations and functions and shapes of allyships between two demographic categories, made arbitrarily distinct here for the purposes of engaging in discursive analysis: cisgender heterosexual Black women and cisgender gay White men. In short, we are proposing a way to view this allyship as bidirectional allyships, grounded in social justice frames of existing: a way to see each respective group as traveling within their own lane down a collectively traveled highway. Each traverses the space along their own course, traveling down “their own road.”

Tensions, Transformations and Travel

This paper discusses the dynamic and complex dimensions of ‘becoming’ a cosmopolitan teacher educator through an overseas study tour. It employs autobiography as a research method to interpret the experiences of an overseas study tour, and how it has engaged the teacher educators in self-reflexivity of their negotiation of multiple identities: academic, personal and cultural. Our self-narratives reveal how becoming cosmopolitan educators is not only intimately linked to the process of re-construction of oneself as a reflexive person. The process can also be conflicting and unsettling because of how we were positioned by our pre-service teachers. It concludes by highlighting the conditions in which our multiple identities come into existence and how they shape our ways of becoming, and the need for teacher educators to engage in a continual process of professional development as cosmopolitan teacher educators.

Quasiperiodic Patterns of the Complex Dimensions of Nonlattice Self-Similar Strings, via the LLL Algorithm

The Lattice String Approximation algorithm (or LSA algorithm) of M. L. Lapidus and M. van Frankenhuijsen is a procedure that approximates the complex dimensions of a nonlattice self-similar fractal string by the complex dimensions of a lattice self-similar fractal string. The implication of this procedure is that the set of complex dimensions of a nonlattice string has a quasiperiodic pattern. Using the LSA algorithm, together with the multiprecision polynomial solver MPSolve which is due to D. A. Bini, G. Fiorentino and L. Robol, we give a new and significantly more powerful presentation of the quasiperiodic patterns of the sets of complex dimensions of nonlattice self-similar fractal strings. The implementation of this algorithm requires a practical method for generating simultaneous Diophantine approximations, which in some cases we can accomplish by the continued fraction process. Otherwise, as was suggested by Lapidus and van Frankenhuijsen, we use the LLL algorithm of A. K. Lenstra, H. W. Lenstra, and L. Lovász.

Video footage from drones for Structure-from-Motion photogrammetry – A practical and rapid assessment method for large wood accumulations in rivers?

<p>Large wood (LW) and logjams are common and important elements in rivers, yet knowledge about composition, volume and porosity of wooden structures in streams is still limited. Most studies apply a rectangular approach (manually measuring a rough bounding-box of the logjam) to estimate LW accumulation volume and porosity. However, this method cannot capture the complex dimensions of LW accumulations and may introduce an additional human-made estimation error. Furthermore, there is a risk of accidents involved when obtaining manual measurements on logjams in the field. Drones represent a powerful tool in geosciences, yet their potential has not been fully exploited to date. The application of non-intrusive quantification methods is widely available in geosciences and recently also increasing for research related to LW in rivers. Recent studies demonstrated that drone imagery and Structure-from-Motion photogrammetry provide true replicates of prototype logjams in form of 3D-models. In the present study we used video footage of a LW accumulation, obtained via standard drone (DJI Phantom 4 Pro+), to evaluate its potential for a rapid assessment of geometric measures (e.g. length, width, height, volume) of the LW accumulation. The gained results from the 4k drone video footage (4,096 x 2,160 pixels) were scaled solely from the obtained video georeferencing data and verified with a properly scaled 3D-accumulation-model that has been generated from high resolution drone imagery (5,472 x 3,648 pixels). We are interested in the level of detail and accuracy, that can be obtained from georeferenced drone footage, and aim to introduce a practical and more reliable assessment method as a state-of-the-art alternative to the traditionally applied rectangular approach. Our study may be of interest for river managers and engineers to rapidly and safely assess LW accumulation volume and porosity in the field.</p>

Stable bagging feature selection on medical data

In the medical field, distinguishing genes that are relevant to a specific disease, let’s say colon cancer, is crucial to finding a cure and understanding its causes and subsequent complications. Usually, medical datasets are comprised of immensely complex dimensions with considerably small sample size. Thus, for domain experts, such as biologists, the task of identifying these genes have become a very challenging one, to say the least. Feature selection is a technique that aims to select these genes, or features in machine learning field with respect to the disease. However, learning from a medical dataset to identify relevant features suffers from the curse-of-dimensionality. Due to a large number of features with a small sample size, the selection usually returns a different subset each time a new sample is introduced into the dataset. This selection instability is intrinsically related to data variance. We assume that reducing data variance improves selection stability. In this paper, we propose an ensemble approach based on the bagging technique to improve feature selection stability in medical datasets via data variance reduction. We conducted an experiment using four microarray datasets each of which suffers from high dimensionality and relatively small sample size. On each dataset, we applied five well-known feature selection algorithms to select varying number of features. The proposed technique shows a significant improvement in selection stability while at least maintaining the classification accuracy. The stability improvement ranges from 20 to 50 percent in all cases. This implies that the likelihood of selecting the same features increased 20 to 50 percent more. This is accompanied with the increase of classification accuracy in most cases, which signifies the stated results of stability.

Spaces of Innovation and Women Rural Entrepreneurship in Italy

This paper deals with “gendering innovation”, with the purpose of exploring the entrepreneurial spaces of innovation among Italian farms managed by women. More precisely, the hypothesis is that entrepre-neurial orientation has to be considered the engine of innovation adoption in different rural contexts, by creating new spaces for innovation. The research is grounded on primary sources using a questionnaire administered to a sample of women farmers in all regions of Italy, with the purpose of investigating complex dimensions behind the decision of innovation uptake, with a special focus on the relevance of entrepreneurial orientation. Empirical analysis lets different “worlds of female innovation” to emerge, which are grounded on both conventional and alternative agrifood networks. Taking on the perspective of entrepreneurial spaces of innovation implies to design a diversified set of policy action with the purpose of affecting these entrepreneurial spaces. This is particularly urgent in the perspective of gender main-streaming of rural development policies of the European Union.