Mindfulness-based training in residential settings: rationale, advantages and obstacles

2014 ◽  
Vol 20 (6) ◽  
pp. 422-430
Author(s):  
Fabrizio Didonna ◽  
Shaun Bhattacherjee

SummaryThe past few decades have witnessed the synthesis of Buddhist mindfulness practice with the Western psychological paradigm, leading to the development of a variety of mindfulness-based interventions. These are delivered to various populations to treat a wide range of physical and psychological disorders, and several protocols have been implemented and evaluated, mostly, if not exclusively, in open or out-patient treatment settings. Little attention has been given to the definition of criteria, guidelines and protocols for the use of mindfulness in residential settings such as in-patient psychiatric wards, secure and forensic services, prisons, nursing homes and hospices. In this article, we discuss the rationale, advantages and obstacles to delivering mindfulness-based interventions in residential treatment settings, with specific reference to forensic settings. We also discuss the problem of developing robust outcome data and recommendations for future research.Learning Objectives•Understand the advantages and challenges of introducing mindfulness-based interventions in in-patient settings.•Understand how mindfulness-based interventions can be adapted to accommodate individual patient psychopathology.•Understand how mindfulness-based interventions can be adapted to specialist clinical settings such as forensic units.

2020 ◽  
Author(s):  
Xiaojie Guo ◽  
Liang Zhao

Graphs are important data representations for describing objects and their relationships, which appear in a wide diversity of real-world scenarios. As one of a critical problem in this area, graph generation considers learning the distributions of given graphs and generating more novel graphs. Owing to its wide range of applications, generative models for graphs have a rich history, which, however, are traditionally hand-crafted and only capable of modeling a few statistical properties of graphs. Recent advances in deep generative models for graph generation is an important step towards improving the fidelity of generated graphs and paves the way for new kinds of applications. This article provides an extensive overview of the literature in the field of deep generative models for graph generation. Firstly, the formal definition of deep generative models for the graph generation as well as preliminary knowledge is provided. Secondly, two taxonomies of deep generative models for unconditional, and conditional graph generation respectively are proposed; the existing works of each are compared and analyzed. After that, an overview of the evaluation metrics in this specific domain is provided. Finally, the applications that deep graph generation enables are summarized and five promising future research directions are highlighted.


2019 ◽  
Vol 296 ◽  
pp. 3-8
Author(s):  
David Bujdoš ◽  
Lucia Bulíková

Nowadays, the colouring is used in wide range of architectural concrete. Therefore, determination efficiency of pigments in case of particular combination of input materials is necessary. The research deals with influence of concentration of liquid inorganic pigments on the resulting colour of cement mortars. Two liquid pigments (yellow, red) were used for measurement purposes to verify their optimal ratio to achieve the best colouring of cement specimens. Pigments were mixed in the mortars of two types of cements used for architectural and decorative design. The colour change was determined using Konica Minolta spectrophotometer in colour space CIE Lab (1976). General definition of deviation in the colour space ΔELab was applied for calculating of colour deviation. From the results of the laboratory tests is obvious that significant change of the colour of cement specimens do not show between the concentration of 6% and 9% of the pigment per cement weight yet. Consequently, using of high ratio of pigment than 9% is not profitable neither for purchaser, nor builder. Future research will focus on trials with a more elaborate share of pigment and it will have importance for price optimization in the construction industry.


2010 ◽  
Vol 30 ◽  
pp. 24-41 ◽  
Author(s):  
Kimi Kondo-Brown

In the last few decades, research on teaching heritage language (HL) learners has expanded enormously and encouraged language professionals to work toward responsible curriculum development for this specific type of learners. This article suggests ways to expand current curriculum research and practices with the goal of advancing the HL competence of learners. To this end, this article examines the scope, trends, and issues in recent theoretical and practical studies concerning curriculum development for HL learners from various language backgrounds, especially those in the United States. A definition of HL learners is presented first, which is followed by a discussion of general second language curriculum development frameworks with specific reference to HL instruction. Then, the article examines the contexts, challenges, and possibilities for teaching HLs to school-age children in precollegiate programs. Next, it turns to a discussion of issues and recommendations for teaching postsecondary HL students. The article concludes by discussing curricular and pedagogical recommendations for HL professionals as well as a future research agenda that could promote the advancement of HL competence in all educational institutions.


2021 ◽  
Author(s):  
Ayse Kok Arslan

This study aims to introduce a discussion platform and curriculum designed to help people understand how machines learn. Research shows how to train an agent through dialogue and understand how information is represented using visualization. This paper starts by providing a comprehensive definition of AI literacy based on existing research and integrates a wide range of different subject documents into a set of key AI literacy skills to develop a user-centered AI. This functionality and structural considerations are organized into a conceptual framework based on the literature. Contributions to this paper can be used to initiate discussion and guide future research on AI learning within the computer science community.


2019 ◽  
Vol 48 (3) ◽  
pp. 268-279 ◽  
Author(s):  
Chloe Y. Shu ◽  
Amy O’Brien ◽  
Hunna J. Watson ◽  
Rebecca A. Anderson ◽  
Tracey D. Wade ◽  
...  

AbstractBackground:Perfectionism is a transdiagnostic risk factor across psychopathology. The Clinical Perfectionism Questionnaire (CPQ) was developed to assess change in order to provide clinical utility, but currently the psychometric properties of the CPQ with adolescents is unknown.Aims:To assess the factor structure and construct validity of the CPQ in female adolescents.Method:The CPQ was administered to 267 females aged 14–19 years of age. Confirmatory factor analysis (CFA) was used to examine the validity of the two-factor model and a second-order factor model. Pearson correlations were used to evaluate the relationships between the CPQ and a wide range of measures of perfectionism, psychopathology and personality traits.Results:The study demonstrated internal consistency, construct validity and incremental validity of the CPQ in a sample of female adolescents. The CFA in the present study confirmed the two-factor model of the CPQ with Factor 1 relating to perfectionistic strivings and Factor 2 representing perfectionistic concerns. The second-order two factor model indicated no deterioration in fit.Conclusions:The two-factor model of the CPQ fits with the theoretical definition of clinical perfectionism where the over-dependence of self-worth on achievement and concern over mistakes are key elements. The CPQ is suitable for use with female adolescents in future research that seeks to better understand the role of perfectionism in the range of mental illnesses that impact youth.


Antibiotics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 269 ◽  
Author(s):  
Samuel Shor ◽  
Christine Green ◽  
Beatrice Szantyr ◽  
Steven Phillips ◽  
Kenneth Liegner ◽  
...  

Objective: Chronic Lyme disease has been a poorly defined term and often dismissed as a fictitious entity. In this paper, the International Lyme and Associated Diseases Society (ILADS) provides its evidence-based definition of chronic Lyme disease. Definition: ILADS defines chronic Lyme disease (CLD) as a multisystem illness with a wide range of symptoms and/or signs that are either continuously or intermittently present for a minimum of six months. The illness is the result of an active and ongoing infection by any of several pathogenic members of the Borrelia burgdorferi sensu lato complex (Bbsl). The infection has variable latency periods and signs and symptoms may wax, wane and migrate. CLD has two subcategories, CLD, untreated (CLD-U) and CLD, previously treated (CLD-PT). The latter requires that CLD manifestations persist or recur following treatment and are present continuously or in a relapsing/remitting pattern for a duration of six months or more. Methods: Systematic review of over 250 peer reviewed papers in the international literature to characterize the clinical spectrum of CLD-U and CLD-PT. Conclusion: This evidence-based definition of chronic Lyme disease clarifies the term’s meaning and the literature review validates that chronic and ongoing Bbsl infections can result in chronic disease. Use of this CLD definition will promote a better understanding of the infection and facilitate future research of this infection.


2020 ◽  
Vol 105 (9) ◽  
pp. e14.1-e14
Author(s):  
Charlotte Hayes ◽  
Teresa Brooks

AimTo develop a screening tool for prescribers to aid desprescribing on discharge from paediatric intensive care (PICU). Deprescribing is defined as ‘the process of withdrawal of an inappropriate medication supervised by a healthcare professional with the goal of managing polypharmacy and improving outcomes’.1 On the subject of deprescribing in paediatrics there is currently a lack of published literature however it is thought that we will be able to rationalise medicine use by being able to identify and document their indications.2MethodAn audit was completed of twenty-five paediatric patients following discharge from PICU. Data was collected on which medicines were not appropriately stopped by PICU prescribers when patients were stepped down to the ward. These medicines were categorised by their indication and this information was used to create a deprescribing screening tool. Prescribers on PICU were educated on this new tool and a further audit is currently underway to assess the impact of this.ResultsTwenty-five children were discharged from PICU to wards within the hospital over a four week period. Of these all twenty-five had two medicines or more that should have been deprescribed or a plan documented for before stepping down. A total of 110 medicines could have been deprescribed (median 4 per patient, range 2–8). These medicines were categorised by their indication: sedation 38.2% (n=42), electrolytes 33.6% (n=37), additional charts 18.2% (n=20), gastro-protection 4.5% (n=5), antibiotics 2.7% (n=3), other 2.7% (n=3).We found that these medicines included high risk critical care only medicines that were unsafe to be administered on a ward such as high strength potassium infusions or inotropes, oral and IV sedative agents and antibiotics with no documented plan. Based on this information the following ‘CEASE’ screening tool was created:Charts - are additional charts still in use and appropriate?Electrolytes - have all PICU only electrolytes been stopped?Antibiotics - do all antibiotics have a documented plan?Sedation - has all sedation been stopped or if not is there a documented plan of when and how to stop?Enteral - if enteral feeds have started has all gastro-protection been stopped?A further audit is currently underway to assess the impact of the ‘CEASE’ tool.ConclusionThe audit has shown that a range of different medicines were inappropriately continued outside of PICU, this includes high risk medicines not suitable for use on the ward. The development of the ‘CEASE’ tool has been created to aid prescribers in the identification of medicines which should be deprescribed. This should help to provide better treatment, improve patient safety and promote antimicrobial stewardship.ReferencesReeve E, Gnjidic D, et al. A systematic review of the emerging definition of ‘deprescribing’ with network analysis: implications for future research and clinical practice. Br J Clin Pharmacol 2015;80:1254–68.Begum R, Tomlin S. Deprescribing in paediatrics. Eur J Hosp Pharm 2017;24:70.


2021 ◽  
Vol 21 ◽  
pp. 26-34
Author(s):  
Ayse Kok Arslan

This study aims to introduce a discussion platform and curriculum designed to help people understand how machines learn. Research shows how to train an agent through dialogue and understand how information is represented using visualization. This paper starts by providing a comprehensive definition of AI literacy based on existing research and integrates a wide range of different subject documents into a set of key AI literacy skills to develop a user-centered AI. This functionality and structural considerations are organized into a conceptual framework based on the literature. Contributions to this paper can be used to initiate discussion and guide future research on AI learning within the computer science community.


Author(s):  
О. Г. Гребеніков

The development of unmanned aerial vehicles is of great interest to both the largest aircraft companies and design enthusiasts, and among the total volume of developments, the volume of multicopter unmanned aerial vehicles occupies one of the leading positions. In this regard, the analysis of existing developments and the definition of future research in this direction is relevant. Multi-helicopter drones have a wide range of functions in both military and civilian use.The paper collects and analyzes statistical data of micro-unmanned aerial vehicles of the multicopter type to determine the achievements in the field of design of micro-unmanned aerial vehicles (UAVs). The current classification of UAVs is considered; as a result of the analysis of statistical data its expansion is offered. The take-off and mass characteristics of the micro UAV are described. The tables showing the existing UAVs are given. In addition, the flight characteristics, aerodynamic schemes and type of engine that are most rationally suited for micro-unmanned aerial vehicles according to their purpose and class are determined.Based on the obtained data, a prototype model of a micro-UAV with improved characteristics was built. The model successfully completed all tasks. This indicates that the new UAV "Fear-1" is a successful project and it has the ability to remotely control by phone or any other equipment designed for this purpose. In addition, the designed device can additionally hang in the specified coordinates."Fear-1" confidently performs tasks in automatic mode, as well as independently decides to return to the starting point of takeoff, if: there is a loss of communication, the battery level has reached a certain level, the UAV has completed its task or used more miles -amperes than specified by the output parameters. The drone has the ability to fly in "Follow me" mode on the selected GPS transmitter. The quadcopter was tested in difficult weather conditions, when the wind force reached 8 points (about 22 m / s). Noise immunity tests were also performed in the industrial frequency range (from 2.4 GHz to 5.8 GHz).


2017 ◽  
Vol 51 (11/12) ◽  
pp. 1938-1960 ◽  
Author(s):  
Mona Mrad ◽  
Charles Chi Cui

Purpose This paper aims to develop a definition of brand addiction and a valid brand addiction scale (BASCALE). Design/methodology/approach The authors used focus-group results to define brand addiction and generate items for the BASCALE and validated the BASCALE with survey data collected in the UK. Findings Based on the 11 brand-addiction features found from the focus groups, the authors define brand addition as an individual consumer’s psychological state that pertains to a self-brand relationship manifested in daily life and involving positive affectivity and gratification with a particular brand and constant urges for possessing the brand’s products/services. Based on the survey study, the authors have established a valid ten-item BASCALE. Research limitations/implications Due to the survey’s setting in the fashion context in the UK, the authors do not intend to generalize the results to other product types and countries. Future research should replicate the BASCALE in different product categories and different countries. Practical implications The BASCALE can serve marketers in the behavioral segmentation and assist brand managers to identify brand addict consumers and maintain long-term relationships with them. Originality/value The authors have developed a definition of brand addiction and a valid BASCALE, which one can use for a wide range of theoretical and empirical research in the marketing and psychology fields. The definition and BASCALE also serve to differentiate brand addiction from other consumer–brand relationships and addiction constructs (e.g. compulsive buying, brand love and brand trust).


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