Vagueness: A Global Approach, by Kit Fine

Significant damage to surface water is caused by cattle husbandry. Only one global approach of water management and farming techniques (breeding management and cultivation methods) will ensure significant results. A pilot study run in the west of France proved that water quality can easily be improved by renovating the cattle buildings. It also showed that manure used as a fertilizer covers cultivation needs, which allows substantial savings for the farmers.

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Problem Orientation

The Oxford Handbook of Global Studies ◽

10.1093/oxfordhb/9780190630577.013.3 ◽

2018 ◽

pp. 138-156

Author(s):

Paul Battersby

Keyword(s):

Complex Problem ◽

Dynamic Mode ◽

Global Approach ◽

Complex Dynamic ◽

Problem Space ◽

Thick Description ◽

Global Response ◽

Problem Orientation ◽

New Knowledge ◽

Creative Problem

Globalization is complex, dynamic, and unpredictable. A commensurably dynamic mode of analysis is thus required for the necessary task of comprehending globalization’s intricacies and consequences. Adopting a creative, problem-based technique, this chapter develops a global approach to problem orientation. Irregular migration is the topic focus used to map out how a complex problem space can be constructed and how notions of complexity can be imaginatively applied to explore avenues for global response. A global problem orientation accepts that new knowledge can form at the interstices of different systems or schools of thought. The creative–imaginative technique discussed in this chapter encourages the use of divergent models or paradigms in tandem to enable thick description and deep analysis of complex problem spaces.

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Comparative Study of Burnout in Professional Caregivers of Institutionalized Elderly with Dementia and other Diseases

European Journal of Investigation in Health, Psychology and Education ◽

10.3390/ejihpe1020005 ◽

2011 ◽

Vol 1 (2) ◽

pp. 61-70

Author(s):

Inmaculada Méndez ◽

Esther Secanilla ◽

Juan P. Martínez ◽

Josefa Navarro

Keyword(s):

Quality Of Life ◽

Ad Hoc ◽

Maslach Burnout Inventory ◽

Well Being ◽

Measuring Instruments ◽

Global Approach ◽

People With Dementia ◽

Quality Of Patient Care ◽

Psychoeducational Programs

In a global approach about the need of paying attention to staff working with and for older people with dementia and other diseases in residential care, it is necessary to investigate their emotional well-being to provide strategies to improve their quality of life and therefore their quality of patient care. Professional caregivers of people with dementia and other diseases have specific psycho-sociological problems. They are more prone to stress which can sometimes lead to the “burnout” due to specific functions in the workplace. To define the sample was decided to compare two residential centers of two regions, Murcia and Barcelona. We proceeded to the administration of the following measuring instruments: the scale Maslach Burnout Inventory (MBI) and an ad hoc survey conducted for professional caregivers. Finally, the results offer the possibility of carrying out programs to prevent emotional exhaustion in professional carers, as well as the possibility of designing psychoeducational programs for staff care and even future proactive and reactive interventions.

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Neuroimmune Response Mediated by Cytokines in Natural Scrapie after Chronic Dexamethasone Treatment

Biomolecules ◽

10.3390/biom11020204 ◽

2021 ◽

Vol 11 (2) ◽

pp. 204

Author(s):

Isabel M. Guijarro ◽

Moisés Garcés ◽

Pol Andrés-Benito ◽

Belén Marín ◽

Alicia Otero ◽

...

Keyword(s):

Prion Diseases ◽

Global Approach ◽

Profile Data ◽

Dexamethasone Treatment ◽

New Approach ◽

Complex Interactions ◽

Natural Scrapie ◽

Anti Inflammatory

The actual role of prion protein-induced glial activation and subsequent cytokine secretion during prion diseases is still incompletely understood. The overall aim of this study is to assess the effect of an anti-inflammatory treatment with dexamethasone on different cytokines released by neuroglial cells that are potentially related to neuroinflammation in natural scrapie. This study emphasizes the complex interactions existent among several pleiotropic neuromodulator peptides and provides a global approach to clarify neuroinflammatory processes in prion diseases. Additionally, an impairment of communication between microglial and astroglial populations mediated by cytokines, mainly IL-1, is suggested. The main novelty of this study is that it is the first one assessing in situ neuroinflammatory activity in relation to chronic anti-inflammatory therapy, gaining relevance because it is based on a natural model. The cytokine profile data would suggest the activation of some neurotoxicity-associated route. Consequently, targeting such a pathway might be a new approach to modify the damaging effects of neuroinflammation.

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Multi-GPU approach to global induction of classification trees for large-scale data mining

Applied Intelligence ◽

10.1007/s10489-020-01952-5 ◽

2021 ◽

Author(s):

Krzysztof Jurczuk ◽

Marcin Czajkowski ◽

Marek Kretowski

Keyword(s):

Data Mining ◽

Large Scale ◽

Real Life ◽

Population Based ◽

Tree Structure ◽

Global Approach ◽

Data Parallel ◽

Large Scale Data ◽

The Impact ◽

Scale Data

AbstractThis paper concerns the evolutionary induction of decision trees (DT) for large-scale data. Such a global approach is one of the alternatives to the top-down inducers. It searches for the tree structure and tests simultaneously and thus gives improvements in the prediction and size of resulting classifiers in many situations. However, it is the population-based and iterative approach that can be too computationally demanding to apply for big data mining directly. The paper demonstrates that this barrier can be overcome by smart distributed/parallel processing. Moreover, we ask the question whether the global approach can truly compete with the greedy systems for large-scale data. For this purpose, we propose a novel multi-GPU approach. It incorporates the knowledge of global DT induction and evolutionary algorithm parallelization together with efficient utilization of memory and computing GPU’s resources. The searches for the tree structure and tests are performed simultaneously on a CPU, while the fitness calculations are delegated to GPUs. Data-parallel decomposition strategy and CUDA framework are applied. Experimental validation is performed on both artificial and real-life datasets. In both cases, the obtained acceleration is very satisfactory. The solution is able to process even billions of instances in a few hours on a single workstation equipped with 4 GPUs. The impact of data characteristics (size and dimension) on convergence and speedup of the evolutionary search is also shown. When the number of GPUs grows, nearly linear scalability is observed what suggests that data size boundaries for evolutionary DT mining are fading.

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