Holistic Methods Research Articles

Computer Scoring of Emotional Awareness in a Nonclinical Population of Young Adults

ABSTRACTThe Levels of Emotional Awareness Scale (LEAS; Lane, Quinlan, Schwartz, Walker, & Zeitlin, 1990) is an open-ended measure of the ability to describe emotional reactions. Scoring the LEAS by hand is complex and time consuming (Barchard, Bajgar, Leaf, & Lane, 2010). Therefore, Program for Open-Ended Scoring (POES; Leaf & Barchard, 2010) was designed to score the LEAS quickly and easily. Using 268 undergraduates, this article compares traditional LEAS hand scoring to 6 POES methods, 2 of which are holistic methods that have never before been examined. Based on split-half reliability, correlations with measures of emotional and social intelligence, and partial correlations once response length and vocabulary were partialed out, we recommend 3 of the POES methods when testing nonclinical samples of young adults. Because POES scoring is fast and efficient, it allows more researchers and clinicians to use the LEAS, thus moving away from self-report measures of emotional awareness.

The present situation of clinical holistic nursing in China

Since from 1995, holistic nursing has over 20 years of development in China. And now as the nursing models spread to national wide, holistic nursing aim to the National Twelfth Five-year Plan. At the guidance of the National Twelfth Five-year Plan, the nursing model in China has been began to turn to holistic nursing model. But because of the influence from many factors from the implementation, the way of thinking about to carry out the nursing care using by most of the nurses in clinic is also from the illness and the medical orders. The holistic nursing philosophy and methods, for example the care program, have been not implemented well. Nurse staffing has been in the national plan. And after years of effort the situation has been improved. But it also can not fit the needs in clinic. So as the method to solve the contradiction between the staffing and the needs, the nursing schedule has began to change. The APN model and some mathematic model have been used to the innovation for the nursing schedule. The ability level of the nurses is known as the important fact on the implementation of holistic nursing. So the nurse training is in the attention. But the standardization for the training is the problem we face now. As the chief method and factor to the continual improvement for holistic nursing, quality evaluation system in our country has been improved gradually. But the scientific management methods have not well combine to the fact, and became a factor to restrict the improvement. So the necessary steps for the improvement of holistic nursing in China involve the investigation about the fact and the theory, the innovation and the standardization for the current situation, and the chinization of the theory. Key words: Review; Holistic nursing; Analysis of current situation

Considering Ergonomics in the Planning of Tugger Train Systems for Production Supply

For the planning of a production supply using a tugger train system, no holistic methods are available that allow one to factor in all important criteria that influence the decision-making process. This paper investigates the possibilities for the consideration of ergonomics in the system design of tugger train systems, based on an empirical study with 42 test subjects. Three basic concepts of tugger trains used in the German automotive industry are defined and evaluated regarding ergonomics. With the aid of a software-based model for tugger trains, which takes the whole life cycle of the tugger train system into account, the economic feasibility of found ergonomic advantages is analyzed. Furthermore, it is exemplarily shown how an informed decision about technical details of a tugger train system can have a positive impact on the ergonomics and economics of the system.

Clinical Intervention with Long Term Anxiety and Depression with a Male Client in a Therapy Resistant Work Culture: Case Study

The present article deals with a case study of a clinical intervention of a male client with long term anxiety and depression in a therapy resistant work culture which effectively deterred self-care, self-awareness and instead encouraged maladaptive coping mechanisms. It explains how a combination of self-assessment, psycho-education and training in self-help and self-analysis methods enabled him to reverse the maladaptive mechanisms and gradually introduce holistic and healthy self-care methods.

An Approach for Enhancing Adoption, Use and Utility of Shared Digital Health Records in Rural Australian Communities.

Internationally, shared digital health records are considered an important addition to improving modern health care provision. Australia launched its version, My Health Record (MyHR), in 2012 but has experienced low adoption and challenges in practical implementation and evaluation. Individuals living with complex and chronic conditions in rural and remote communities often experience challenges in obtaining equitable access to health care provision. They are also supposed to face additional barriers to adopting and using eHealth services. This paper reports on research investigating adoption, use and utility of MyHR, in rural remote Australian community settings. Based on this research an approach for improving national roll out of MyHR is presented. The approach highlights a means to understand and engage communities with complex care needs, to support their adoption and use of digital tools. It also draws attention to holistic methods for evaluating and assessing impact at individual, community and health care provision levels.

Digitisation of manual composite layup task knowledge using gaming technology

Abstract Increased market demand for composite products and shortage of expert laminators is compelling the composite industry to explore ways to acquire layup skills from experts and transfer them to novices and eventually to machines. There is a lack of holistic methods in literature for capturing composite layup skills especially involving complex moulds. This research aims to develop an informatics-based method, enabled by consumer-grade gaming technology and machine learning, to capture and digitise manufacturing task knowledge from skill-intensive hand layup. The digitisation is underpinned by the proposed human-workpiece interaction theory and implemented to automatically extract and decode key knowledge constituents such as layup strategies, ply manipulation techniques, motion mechanics and problem-solving during hand layup, collectively categorised as layup skills. The significance of this research is its potential to facilitate cost-effective transfer of skills from experts to novices, real-time automated supervision of hand layup and automation of layup tasks in the future.

Comparing holistic and feature-based visual methods for estimating the relative pose of mobile robots

Feature-based and holistic methods present two fundamentally different approaches to relative-pose estimation from pairs of camera images. Until now, there has been a lack of direct comparisons between these methods in the literature. This makes it difficult to evaluate their relative merits for their many applications in mobile robotics. In this work, we compare a selection of such methods in the context of an autonomous domestic cleaning robot. We find that the holistic Min-Warping method gives good and fast results. Some of the feature-based methods can provide excellent and robust results, but at much slower speeds. Other such methods also achieve high speeds, but at reduced robustness to illumination changes. We also provide novel image databases and supporting data for public use.

GROUNDWATER STATUS ASSESSMENT IN CONTEXT OF REPORTING REQUIREMENTS TO THE EUROPEAN COMMISSION

The accession of Poland to the European Union and implementation of the Water Framework Directive (2000/60/WE) into the Polish legal system has significantly changed the course and scope of national water management and assessment of water resources. The concept of integrated and dynamic way of treating groundwater and surface waters and their position in the environment, emphasized in the WFD, has strengthened and enhanced the already applied procedures for groundwater monitoring and status assessment. These procedures aim at achieving sensibly justified and well-founded balance between environmental objectives defined for groundwater bo¬dies and water needs required by all types of water users. This required establishment of a new, holistic methods for assessing groundwater body status based on previous national experiences and new EU guidelines and requirements. The new methods for assessing groundwater body status in terms of its quality and quantity were developed and implemented by the Polish Geological Institute – National Research Institute in 2013. The project was commissioned by the Chief Inspectorate for Environmental Protection and financed by the National Fund for Environmental Protection and Water Management. The methods accounts groundwater needs of priority water users through nine classification tests which investigate groundwater characteristics and dependencies between groundwater and its receptors, including surface waters and groundwater-dependent terrestrial ecosystems. Each of nine classification tests can result in either good or poor status and the final groundwater body status assessment is a product of all tests, which means that a negative result of at least one test can decide of poor status of a given groundwater body.

Mycorrhizal Diversity: Methods and Constraints?

Background/Objectives: Arbuscular Mycorrhizae (AMF) form a symbiotic association with more than 80% terrestrial plants. It is not only important for natural ecosystems, but also for sustainable agricultural production under managed ecosystem. Disturbances produced in managed ecosystem influence mycorrhizal abundance and species composition. Methods/Statistical Analysis: The present study addresses to the constraints of recording abundance and identities, as determined from morphological characters of AM spores, biomarker (fatty acids methyl ester) and largely by ribosomal sequence marker. In order to overcome of these restrictions, the present method is the combined approach based on molecular, biochemical and morphological analysis. Findings: Integrated methodology shift towards holistic methods for define AM biodiversity in agriculture system. Our finding suggested suitable alternative molecular markers for identification of AM fungi up to lower taxon level. Current investigation also identifies the selection pressures that effect AMF diversity in agricultural land and look into induction of AMF diversity by different management practices under sustainable development. Applications/Improvements: Results forecast biodiversity study of AM fungi in complex habitat based on integration of molecular, morphological and biochemical approach. These integrated systematic and ecological researches look forward to the development of powerful and cost effective techniques for AM ecotype selection from complex environmental soil.

Discrimination of Apple Liqueurs (Nalewka) Using a Voltammetric Electronic Tongue, UV-Vis and Raman Spectroscopy.

The capability of a phthalocyanine-based voltammetric electronic tongue to analyze strong alcoholic beverages has been evaluated and compared with the performance of spectroscopic techniques coupled to chemometrics. Nalewka Polish liqueurs prepared from five apple varieties have been used as a model of strong liqueurs. Principal Component Analysis has demonstrated that the best discrimination between liqueurs prepared from different apple varieties is achieved using the e-tongue and UV-Vis spectroscopy. Raman spectra coupled to chemometrics have not been efficient in discriminating liqueurs. The calculated Euclidean distances and the k-Nearest Neighbors algorithm (kNN) confirmed these results. The main advantage of the e-tongue is that, using PLS-1, good correlations have been found simultaneously with the phenolic content measured by the Folin–Ciocalteu method (R2 of 0.97 in calibration and R2 of 0.93 in validation) and also with the density, a marker of the alcoholic content method (R2 of 0.93 in calibration and R2 of 0.88 in validation). UV-Vis coupled with chemometrics has shown good correlations only with the phenolic content (R2 of 0.99 in calibration and R2 of 0.99 in validation) but correlations with the alcoholic content were low. Raman coupled with chemometrics has shown good correlations only with density (R2 of 0.96 in calibration and R2 of 0.85 in validation). In summary, from the three holistic methods evaluated to analyze strong alcoholic liqueurs, the voltammetric electronic tongue using phthalocyanines as sensing elements is superior to Raman or UV-Vis techniques because it shows an excellent discrimination capability and remarkable correlations with both antioxidant capacity and alcoholic content—the most important parameters to be measured in this type of liqueurs.

Qualitative Analysis of Dietary Behaviors in Picture Book Fiction for 4- to 8-Year-Olds

ObjectivePicture books may facilitate parents' efforts to decrease pickiness and other undesirable food habits in children. This study conducted a content analysis of dietary behaviors and feeding strategies featured in fictional picture books compared with those discussed in the research literature. DesignSeveral databases were searched for fictional picture books about dietary behavior, published between 2000 and 2016, accessible in the US, available in print format, and designated for 4- to 8-year-olds. Phenomenon of InterestMessages about dietary behavior in picture book fiction. AnalysisStories were systematically coded using holistic, data-driven, and evaluation coding methods. The final set of codes was examined for themes and patterns. ResultsOf the 104 books, 50% featured a specific eating behavior, 21% lifestyle/eating patterns, 20% food-related sensations and emotions, and 9% table manners. Conclusions and ImplicationsBooks about dietary behaviors are abundant but the topic coverage is unbalanced. Problem behaviors portrayed in books overlap those discussed in the research literature. However, problem-solving strategies and actions do not align with those endorsed by nutrition professionals. Messages vary in their complexity (in terms of their plot and/or language), ranging from clear and direct to vague, sophisticated, unresolved, conflicting, or controversial. Recommendations for practitioners are discussed.

Feasting for Change: Reconnecting with Food, Place & Culture

This paper examines and shares the promising practices that emerged from an innovative project, entitled “Feasting for Change,” in promoting health and well-being. Taking place on Coast Salish territories, British Columbia, Canada, Feasting for Change aimed to empower Indigenous communities to revitalize traditional knowledge about the healing power of foods. This paper contributes to a growing body of literature that illuminates how solidarities between Indigenous and non-Indigenous communities can be fostered to support meaningful decolonization of mainstream health practices and discourses. In particular, it provides a hopeful model for how community-based projects can take inspiration and continual leadership from Indigenous Peoples. This paper offers experiential and holistic methods that enhance the capacity for intergenerational, land-based, and hands-on learning about the value of traditional food and cultural practices. It also demonstrates how resources (digital stories, plant knowledge cards, celebration cookbooks, and language videos) can be successfully developed with and used by community to ensure the ongoing process of healthful revitalization.

A coding-guided holistic-based palmprint recognition approach

In the past few years, the need for accuracy and robustness against luminosity variations has drawn a considerable share of the palmprint research toward coding-based approaches. However, on the downside coding-based approaches require a high computational cost. On the contrary, while holistic-based palmprint recognition methods are easy to implement and have low computational burden, they usually do not result in a highly desirable accuracy. As a result, more recently hybridization of the holistic-based and coding-based methods has gained a boost. These hybridization schemes take advantages of both holistic and coding information to achieve a better performance. However, their computational burden due to incorporating the coding approach is still much heavier than the holistic methods. In this paper, we propose a new hybridization scheme based on Anisotropic Filter (AF) coding and the two-phase test sample representation (TPTSR) for the palmprint identification. In our scheme, the coding-based method is only applied on a super narrowed gallery in order to measure the classification confidence for a given test sample. Then, we apply our Guided Holistic (GH)-based method for classifying the test sample if the holistic-based algorithm is not sufficiently confident. Experimental results demonstrate the efficiency of our method in enhancing both the complexity cost and the accuracy of the results.

Multialgorithmic Frameworks for Human Face Recognition

This paper presents a critical evaluation of multialgorithmic face recognition systems for human authentication in unconstrained environment. We propose different frameworks of multialgorithmic face recognition system combining holistic and texture methods. Our aim is to combine the uncorrelated methods of the face recognition that supplement each other and to produce a comprehensive representation of the biometric cue to achieve optimum recognition performance. The multialgorithmic frameworks are designed to combine different face recognition methods such as (i) Eigenfaces and local binary pattern (LBP), (ii) Fisherfaces and LBP, (iii) Eigenfaces and augmented local binary pattern (A-LBP), and (iv) Fisherfaces and A-LBP. The matching scores of these multialgorithmic frameworks are processed using different normalization techniques whereas their performance is evaluated using different fusion strategies. The robustness of proposed multialgorithmic frameworks of face recognition system is tested on publicly available databases, for example, AT & T (ORL) and Labeled Faces in the Wild (LFW). The experimental results show a significant improvement in recognition accuracies of the proposed frameworks of face recognition system in comparison to their individual methods. In particular, the performance of the multialgorithmic frameworks combining face recognition methods with the devised face recognition method such as A-LBP improves significantly.

A Survey of the Trends in Facial and Expression Recognition Databases and Methods

Automated facial identification and facial expression recognition have been topics of active research over the past few decades. Facial and expression recognition find applications in human-computer interfaces, subject tracking, real-time security surveillance systems and social networking. Several holistic and geometric methods have been developed to identify faces and expressions using public and local facial image databases. In this work we present the evolution in facial image data sets and the methodologies for facial identification and recognition of expressions such as anger, sadness, happiness, disgust, fear and surprise. We observe that most of the earlier methods for facial and expression recognition aimed at improving the recognition rates for facial feature-based methods using static images. However, the recent methodologies have shifted focus towards robust implementation of facial/expression recognition from large image databases that vary with space (gathered from the internet) and time (video recordings). The evolution trends in databases and methodologies for facial and expression recognition can be useful for assessing the next-generation topics that may have applications in security systems or personal identification systems that involve "Quantitative face" assessments.

On synergies of cyber and physical security modelling in vulnerability assessment of railway systems

The multifaceted nature of cyber-physical systems needs holistic study methods to detect essential aspects and interrelations among physical and cyber components. Like the systems themselves, security threats feature both cyber and physical elements. Although to apply divide et impera approaches helps handling system complexity, to consider just one aspect at a time does not provide adequate risk awareness and hence does not allow to design the most appropriate countermeasures. To support this claim, in this paper we provide a joint application of two model-driven techniques for physical and cyber-security evaluation. We apply two UML profiles, namely SecAM (for cyber-security) and CIP_VAM (for physical security), in combination. In such a way, we demonstrate the synergy between both profiles and the need for their tighter integration in the context of a reference case study from the railway domain.

Index-Based Cost-Effectiveness Analysis vs. Least-Cost River Basin Optimization Model: Comparison in the Selection of a Programme of Measures at the River Basin Scale

Increasing water scarcity challenges conventional approaches to managing water resources. More holistic tools and methods are required to support the integrated planning and management of fresh water resources at the river basin level. This paper compares an index-based cost-effectiveness analysis (IBCEA) with a least-cost river basin optimization model (LCRBOM). Both methods are applied to a real case study to design a cost-effective portfolio of water demand and supply management measures that ensures compliance with water supply and environmental targets. The IBCEA is a common approach to select programmes of measures in the implementation of the EU Water Framework Directive. We describe its limitations in finding a least-cost solution at the river basin level and highlight the benefits from implementing a LCRBOM. Both methods are compared in a real case study, the Orb river basin, in the south of France. The performances of the programmes of measures selected by the two methods are compared for the same annual equivalent cost. By ignoring the spatial and temporal variability of water availability and water demands in the river basin and the interconnection among its elements, the aggregated approach used in the standard IBCEA can miss more cost-effective solutions at the river basin scale.

A Summative Translation Quality Assessment Model for Undergraduate Student Translations: Objectivity Versus Manageability

Various scholars from different schools of thought have proposed criteria and/ or models or translation assessment. Surprisingly, almost none of them are tailor-made for a manageable summative evaluation of student translation. That is why most translation teachers still draw on holistic and traditional methods of translation evaluation in their exams. These methods are either too holistic or too detailed (and complex) for translation evaluation purposes in educational settings. The holistic approaches that verge on subjectivity are quite manageable for a teacher who is to evaluate of a score of students, whereas the detailed and quantitative models, which are highly demanding on the limited resources of a classroom teacher, are considered highly objective. Feeling the need for a model, which is both manageable and objective, this study aims at reaching a compromise between the subjectivity and the complexity of these approaches to translation evaluation. Our proposed model draws on and combines the five linguistic equivalences introduced by Koller (1979) and the five-leveled holistic scheme for translation evaluation proposed by Waddington (2001). DOI: http://dx.doi.org/10.5755/j01.sal.0.26.12421

Preliminary elaboration on emergent properties of traditional Chinese medicine

Plant and animal derived secondary metabolites are the result of initiative and adaptability of natural evolution due to its adaptive stress responses. Based on countless attempts, rational thinking and thousands of years of clinical practice by ancient Chinese, the medicines were endowed with advantages for the treatment of diseases and keeping health balance through multiple components combination instead of single components, featured by a complex system with emergent properties. The emergence of traditional Chinese medicine is because of the integration of various components and its complex interactions. How to obtain the new multicomponent entities with the biological equivalent effect is an important and fundamental work for TCM-based new drug research and development. Currently, recognition of TCM emergence and development of related technical methods needs strengthened, and the understanding and research of TCM require a systematic integration of the holistic and reductive methods.

THEORETICAL EXPLANATION OF THE IMPLICATIONS OF COMPLEX SYSTEMS THEORY FOR TEACHING SCIENCE

The present study seeks to explain the implications of triple levels of the complex systems theory, as a theory about nature, science, and education, for teaching science. The study has been conducted within a philosophical approach. On the first level, the characteristics of complex systems theory about nature including: top-down character, non-linear interactions, emergence, irreversibility, self-organization, modularity, hierarchy, adaptation and bifurcation are explained. In this regard the point to be mentioned is that the teachers could facilitate the students' understanding from the fundamental features of nature by offering diverse and suitable examples. On the second level, the complex systems theory mainly addresses the nature and methodology of science. Regarding the nature of science, scientific knowledge is defined as condition-structured knowledge and regarding the methodology of science, this theory highlights the features including condition-dependent generalisation, condition-dependent laws, condition-dependent explanation, condition-dependent confirmation, and the limitations of model-centered confirmation. The implications from this level of complex systems theory for teaching science encourage the teachers to clarify the methodology of science for the students. Regarding the third level, Complex systems theory orients attentions toward dynamic, complicated, and integrated levels, including the neurological, the experiential, the contextual/material, the symbolic, the cultural, and the ecological levels of education. So teachers might explain the basic features of the natural events through non-linear and holistic methods in teaching science.