State of the Art of Positive Indicators of Child Well-being

2009 ◽  
Author(s):  
Laura H. Lippman ◽  
Kristin Anderson Moore ◽  
Hugh McIntosh
Keyword(s):  
State Of The Art ◽  
Well Being ◽  
Positive Indicators

scholarly journals Plant-based fructans for increased animal welfare: provision processes and remaining challenges

2021 ◽  
Author(s):  
A. Zimmermann ◽  
C. Visscher ◽  
M. Kaltschmitt
Keyword(s):  
Animal Welfare ◽  
Dietary Fibre ◽  
Animal Feed ◽  
State Of The Art ◽  
Public Awareness ◽  
Well Being ◽  
Glycosidic Bonds ◽  
Health Promoting ◽  
Branched Structure ◽  
Stimulation Of

AbstractFructans are carbohydrates consisting of fructose monomers linked by β-2,1- and/or β-2,6-glycosidic bonds with linear or branched structure. These carbohydrates belong to the group of prebiotic dietary fibre with health-promoting potential for humans and mammals due to their indigestibility and selective stimulation of microorganisms in the gastrointestinal tract. This makes fructans interesting mainly for healthy food as well as animal feed applications. As a consequence of a growing public awareness for animal welfare, dietary fibre and thus fructans move into the focus as a fibre-rich feeding improving not only animals’ health but also their well-being. Against this background, this paper summarises the known effects of fructans focusing on pigs and highlights the state of the art in fructan production processes from plant material as well as selected current research lines. Additionally, an attempt is made to assess the potential of European fructan production for an application as animal feed. Based on this, challenges in the field of fructan production are addressed and alternative substrates for fructans are discussed and pointed out.

scholarly journals A Combined Approach to Predicting Rest in Dogs Using Accelerometers

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2649 ◽  
Author(s):  
Cassim Ladha ◽  
Christy Hoffman
Keyword(s):  
Resting State ◽  
State Of The Art ◽  
Hybrid Approach ◽  
Well Being ◽  
Housing Conditions ◽  
Combined Approach ◽  
Current State ◽  
Healthy Dogs ◽  
State Of Rest ◽  
Health And Well Being

The ability to objectively measure episodes of rest has clear application for assessing health and well-being. Accelerometers afford a sensitive platform for doing so and have demonstrated their use in many human-based trials and interventions. Current state of the art methods for predicting sleep from accelerometer signals are either based on posture or low movement. While both have proven to be sensitive in humans, the methods do not directly transfer well to dogs, possibly because dogs are commonly alert but physically inactive when recumbent. In this paper, we combine a previously validated low-movement algorithm developed for humans and a posture-based algorithm developed for dogs. The hybrid approach was tested on 12 healthy dogs of varying breeds and sizes in their homes. The approach predicted state of rest with a mean accuracy of 0.86 (SD = 0.08). Furthermore, when a dog was in a resting state, the method was able to distinguish between head up and head down posture with a mean accuracy of 0.90 (SD = 0.08). This approach can be applied in a variety of contexts to assess how factors, such as changes in housing conditions or medication, may influence a dog’s resting patterns.

Social robots to support children’s well-being under medical treatment: A systematic state-of-the-art review

2018 ◽  
Vol 23 (4) ◽  
pp. 596-612 ◽  
Author(s):  
Clara J Moerman ◽  
Loek van der Heide ◽  
Marcel Heerink
Keyword(s):  
State Of The Art ◽  
Well Being ◽  
Positive Influence ◽  
Psychiatric Ward ◽  
Medical Procedure ◽  
Hand Search ◽  
Assistive Robots ◽  
Socially Assistive Robots ◽  
Positive Effects ◽  
Stressful Experience

Hospitalization is a stressful experience for children. Socially assistive robots (SARs), designed to interact with humans, might be a means to mitigate a child’s stress and support its well-being. A systematic state-of-the-art review was performed to inventorize the use of SARs in hospital to support children’s well-being and what the effects are. We searched five databases (Cinahl, Medline, Embase, PsycInfo, IEEE), combining terms for ‘distress’, ‘relaxation’ and ‘well-being’ with terms for social robot and child, and did an additional hand search. Ten publications (on eight studies) out of 563 unique titles were considered relevant. Six different robots were used (one humanoid, five pet-like) for distraction during medical procedure, emotional support for dealing with a disease or support of well-being during hospital stay. Positive effects on the children were noted, such as experiencing distraction and engagement, and less stress or pain, more relaxation, smiling and openness or better communication. On a psychiatric ward some youngsters felt unsafe with the robot. The outcomes suggest that SARs may have a potentially positive influence on a child’s well-being. Further research is needed to determine the effect of using SARs and how to integrate the use in the working routines of health personnel.

scholarly journals Natural Compounds for Preventing Ear, Nose, and Throat-Related Oral Infections

Plants ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1847
Author(s):  
Adelina-Gabriela Niculescu ◽  
Alexandru Mihai Grumezescu
Keyword(s):  
Infection Prevention ◽  
State Of The Art ◽  
Antimicrobial Properties ◽  
Essential Element ◽  
Well Being ◽  
Natural Compounds ◽  
The Body ◽  
Oral Infections ◽  
Synthetic Drugs ◽  
Nose And Throat

Oral health is an essential element in maintaining general well-being. By preserving the complex equilibrium within the oral microbial community, commensal microorganisms can protect against extrinsic pathogenic threats. However, when an imbalance occurs, the organism is susceptible to a broad range of infections. Synthetic drugs can be administered to help the body fight against the fungal, bacterial, or viral burden. Nonetheless, they may produce undesirable consequences such as toxicity, adverse effects, and drug resistance. In this respect, research has focused on finding safer and more efficient alternatives. Particularly, increasing attention has been drawn towards developing novel formulations based on natural compounds. This paper reviews the plant-based, algae-based, and beehive products investigated for their antimicrobial properties, aiming to thoroughly present the state of the art on oral infection prevention in the ear, nose, and throat (ENT) field.

scholarly journals Tashi-Bot: A Intelligent Personal Assistant for Users in an Educational Institution

2021 ◽  
Author(s):  
Henriquez Carlos ◽  
Sánchez-Torres German ◽  
Salcedo Dixon
Keyword(s):  
University Students ◽  
State Of The Art ◽  
Educational Institution ◽  
Well Being ◽  
Human Interaction ◽  
Design And Implementation ◽  
Personal Assistant ◽  
Intelligent Personal Assistant ◽  
Administrative Tasks ◽  
Tuition Costs

The number of AI applications in education is growing every day. One recent AI application in the educational sector is Chatbot technology, which is used to support teaching and administrative tasks. This document presents the design and implementation of a Chatbot called Tashi-Bot that helps applicants and university students to obtain information from an educational institution about certain academic and administrative processes. Among these are processes related to well-being, tuition, costs, admission, and other services. In order to design the Chatbot, an analysis of the state of the art, methodologies, and suitable tools was carried out, and a survey was conducted to discover the needs of users and their preferences in the use of a Chatbot for this specific purpose. Tashi-Bot was implemented on the SnatchBot platform and later deployed on a Telegram channel. In its evaluation, a final survey was carried out to check on the satisfaction of the users. The results suggest that Tashi-Bot could help applicants and university students to find information on academic and administrative processes with great certainty and without the need for human interaction. Tashi-Bot can be found at: https://web.telegram.org/#/im?p=@TashiE_Bot..

scholarly journals Beyond the “Third Wave of Positive Psychology”: Challenges and Opportunities for Future Research

2022 ◽  
Vol 12 ◽  
Author(s):  
Marié P. Wissing
Keyword(s):  
Positive Psychology ◽  
State Of The Art ◽  
Well Being ◽  
The State ◽  
Future Research ◽  
Complex Nature ◽  
Third Wave ◽  
Health And Wellness ◽  
The Third ◽  
Challenges And Opportunities

The positive psychology (PP) landscape is changing, and its initial identity is being challenged. Moving beyond the “third wave of PP,” two roads for future research and practice in well-being studies are discerned: The first is the state of the art PP trajectory that will (for the near future) continue as a scientific (sub)discipline in/next to psychology (because of its popular brand name). The second trajectory (main focus of this manuscript) links to pointers described as part of the so-called third wave of PP, which will be argued as actually being the beginning of a new domain of inter- or transdisciplinary well-being studies in its own right. It has a broader scope than the state of the art in PP, but is more delineated than in planetary well-being studies. It is in particular suitable to understand the complex nature of bio-psycho-social-ecological well-being, and to promote health and wellness in times of enormous challenges and changes. A unique cohering focus for this post-disciplinary well-being research domain is proposed. In both trajectories, future research will have to increase cognizance of metatheoretical assumptions, develop more encompassing theories to bridge the conceptual fragmentation in the field, and implement methodological reforms, while keeping context and the interwovenness of the various levels of the scientific text in mind. Opportunities are indicated to contribute to the discourse on the identity and development of scientific knowledge in mainstream positive psychology and the evolving post-disciplinary domain of well-being studies.

scholarly journals Confidence-Calibrated Human Activity Recognition

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6566
Author(s):  
Debaditya Roy ◽  
Sarunas Girdzijauskas ◽  
Serghei Socolovschi
Keyword(s):  
Neural Network ◽  
Activity Recognition ◽  
State Of The Art ◽  
Wearable Sensors ◽  
Window Size ◽  
Well Being ◽  
The State ◽  
Calibration Error ◽  
Network Architectures ◽  
Neural Network Architectures

Wearable sensors are widely used in activity recognition (AR) tasks with broad applicability in health and well-being, sports, geriatric care, etc. Deep learning (DL) has been at the forefront of progress in activity classification with wearable sensors. However, most state-of-the-art DL models used for AR are trained to discriminate different activity classes at high accuracy, not considering the confidence calibration of predictive output of those models. This results in probabilistic estimates that might not capture the true likelihood and is thus unreliable. In practice, it tends to produce overconfident estimates. In this paper, the problem is addressed by proposing deep time ensembles, a novel ensembling method capable of producing calibrated confidence estimates from neural network architectures. In particular, the method trains an ensemble of network models with temporal sequences extracted by varying the window size over the input time series and averaging the predictive output. The method is evaluated on four different benchmark HAR datasets and three different neural network architectures. Across all the datasets and architectures, our method shows an improvement in calibration by reducing the expected calibration error (ECE)by at least 40%, thereby providing superior likelihood estimates. In addition to providing reliable predictions our method also outperforms the state-of-the-art classification results in the WISDM, UCI HAR, and PAMAP2 datasets and performs as good as the state-of-the-art in the Skoda dataset.

Spondyloarthritis: state of the art and future perspectives

2010 ◽  
Vol 69 (6) ◽  
pp. 949-954 ◽  
Author(s):  
Désirée van der Heijde ◽  
Walter P Maksymowych
Keyword(s):  
Clinical Research ◽  
Disease Activity ◽  
Effective Treatment ◽  
State Of The Art ◽  
Well Being ◽  
Plain Radiography ◽  
Future Perspectives ◽  
Comprehensive Understanding ◽  
The Past ◽  
Physical Modalities

Advances in the understanding of this group of arthritides over the past decade can be considered transformational from the perspective of basic mechanisms as well as clinical research focusing on the development of imaging technologies and a spectrum of standardised clinical outcomes that aim at a more comprehensive understanding of disease activity, functioning and disability, and prognosis. Prior to this decade, treatment was unsatisfactory and limited to physical modalities and non-steroidal anti-inflammatory agents, while diagnostic ascertainment primarily focused on clinical evaluation and plain radiography. Today, patients with spondyloarthritis (SpA) can look forward to earlier diagnosis and more effective treatment but significant challenges remain. This review will summarise the past decade's major accomplishments in the understanding of the basic mechanisms contributing to the development of SpA, outline those advances in clinical and imaging outcomes that have enabled major therapeutic advances and now permit a broader understanding of the early development of disease and its impact on patient well-being, and will describe new approaches to the development of diagnostic criteria that incorporate advances in imaging.

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