The impact of tablecloth on consumers’ food perception in real-life eating situation

2019 ◽  
Vol 71 ◽  
pp. 168-171 ◽  
Author(s):  
Jing Liu ◽  
Estelle Petit ◽  
Anne-Cecile Brit ◽  
Agnes Giboreau
Keyword(s):  
Real Life ◽  
Food Perception ◽  
The Impact

The Impact of Angiotensin-II Receptor Blockers on Cardiovascular Events in Hypertensive Patients – Evidence from Real-life Databases

2010 ◽  
Vol 6 (3) ◽  
pp. 33
Author(s):  
Robert J Petrella ◽  
Keyword(s):  
Angiotensin Ii ◽  
Antihypertensive Drugs ◽  
Real Life ◽  
Angiotensin Ii Receptor Blockers ◽  
Angiotensin Ii Receptor ◽  
Real World Setting ◽  
Actual Experience ◽  
Receptor Blockers ◽  
Randomised Controlled ◽  
The Impact

It is widely recognised that hypertension is a major risk factor for the development of future cardiovascular (CV) events, which in turn are a major cause of morbidity and mortality. Blood pressure (BP) control with antihypertensive drugs has been shown to reduce the risk of CV events. Angiotensin-II receptor blockers (ARBs) are one such class of antihypertensive drugs and randomised controlled trials (RCTs) have shown ARB-based therapies to have effective BP-lowering properties. However, data obtained under these tightly controlled settings do not necessarily reflect actual experience in clinical practice. Real-life databases may offer alternative information that reflects an uncontrolled real-world setting and complements and expands on the findings of clinical trials. Recent analyses of practice-based real-life databases have shown ARB-based therapies to be associated with better persistence and adherence rates and with superior BP control than non-ARB-based therapies. Analyses of real-life databases also suggest that ARB-based therapies may be associated with a lower risk of CV events than other antihypertensive-drug-based therapies.

Psychology: Volume 1

2019 ◽  
Keyword(s):  
Positive Psychology ◽  
Human Life ◽  
Empirical Studies ◽  
Real Life ◽  
Human Beings ◽  
Cognitive Capability ◽  
Affective Processes ◽  
Abstract Level ◽  
The Impact ◽  
Cognition And Affect

This survey of research on psychology in five volumes is a part of a series undertaken by the ICSSR since 1969, which covers various disciplines under social science. Volume One of this survey, Cognitive and Affective Processes, discusses the developments in the study of cognitive and affective processes within the Indian context. It offers an up-to-date assessment of theoretical developments and empirical studies in the rapidly evolving fields of cognitive science, applied cognition, and positive psychology. It also analyses how pedagogy responds to a shift in the practices of knowing and learning. Additionally, drawing upon insights from related fields it proposes epithymetics–desire studies – as an upcoming field of research and the volume investigates the impact of evolving cognitive and affective processes in Indian research and real life contexts. The development of cognitive capability distinguishes human beings from other species and allows creation and use of complex verbal symbols, facilitates imagination and empowers to function at an abstract level. However, much of the vitality characterizing human life is owed to the diverse emotions and desires. This has made the study of cognition and affect as frontier areas of psychology. With this in view, this volume focuses on delineating cognitive scientific contributions, cognition in educational context, context, diverse applications of cognition, psychology of desire, and positive psychology. The five chapters comprising this volume have approached the scholarly developments in the fields of cognition and affect in innovative ways, and have addressed basic as well applied issues.

scholarly journals SAT0501 EARLY START OF BIOLOGICAL TREATMENT IN JUVENILE IDIOPHATIC ARTHRITIS: DOES A THERAPEUTIC WINDOW EXIST IN REAL LIFE?

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1207.2-1207
Author(s):  
A. García Fernández ◽  
A. Briones-Figueroa ◽  
L. Calvo Sanz ◽  
Á. Andreu-Suárez ◽  
J. Bachiller-Corral ◽  
...  
Keyword(s):  
Disease Activity ◽  
Biological Treatment ◽  
Real Life ◽  
Therapeutic Window ◽  
Systemic Jia ◽  
Active Arthritis ◽  
The Impact ◽  
Active Patients ◽  
Active Disease

Background:Biological therapy (BT) has changed the treatment and perspectives of JIA patients but little is known about when is the best moment to start BT and the impact of this prompt iniciation.Objectives:To analyze the response to BT of Juvenile Idiophatic Arthritis (JIA) patients according to the time when the BT was started.Methods:A retrospective, descriptive study was conducted on JIA patients followed up in a referal hospital that started BT up to 24 months after diagnosis from 2000 to 2018. Disease activity was measured, at 2 years after diagnosis, according to Wallace criteria for remission (absence of: active arthritis, active uveitis, fever, rash or any other manifestation attributable to JIA, normal CRP and ESR, PGA indicating no active disease) for at least 6 months.Results:55 JIA patients that started BT up to 24 months from diagnosis were analyzed. 69,1% were girls with a median age at diagnosis of 8 years old IQR(3-13), median age at the start of BT of 9 years old IQR(3-13). Regarding JIA categories: 25,5% were Oligoarticular Persistent (OligP), 18,2% Systemic JIA (sJIA), 16,4% Entesitis related Arthritis (ERA), 12,7% Psoriatic Arthritis (APso) and Polyarticular RF- (PolyRF-), 5,5% Oligoarticular Extended (OligE) and Polyarticular RF+ (PolyRF+), 3,6% Undifferentiated (Und). 20% of patients had uveitis during followup. Conventional DMARD (cDMARD) was indicated in 83,6% of patients (95,7% Methotrexate) at diagnosis [median 0 months IQR(0-2,3)]. At the end of followup (2 years) only 30,9% of patients continued with cDMARDs. The main causes of discontinuation were: adverse events (46,7%), remission (36,7%). TNF inhibitors were precribed in 81,8% of patients and 18,2% of patients recieved two BT during the first 2 years from diagnosis. 54,5% of BT were indicated during the first 6 months from diagnosis, 27,3% from 7 to 12 months, 12,7% from 13 to 18 months, 5,5% from 19 to 24 months.After 2 years from diagnosis, 78,2% of patients were on remission and 21,8% active. Among patients with active disease: 75% had arthritis, 16,7% had uveitis and 8,3% had both. There were no differences regarding disease activity among patients with uveitis and neither taking cDMARDs. Regarding JIA categories: 66,7% of OligE, 57,1% of PolyRF- and 57,1% of APso patients were active at 2 years from diagnosis when compared to the other categories (p=0.004).Patients on remission at 24 months from diagnosis started sooner the BT than active patients [CI 95% (0,46-8,29) p=0,029]. The time when the BT was started was correlated to the activity at 2 years (K= 0,294 p=0,029). When the BT was prescribed after 7,5months from diagnosis it was correlated, in a COR curve, with a higher probability of active disease at 2 years (S= 0,67 E= 0,63). There was a correlation, among patients on remission at 2 years, between prompt start of BT and less time to reach remission (K= -0,345 p=0,024). Patients with active disease at 2 years, regardless of moment of BT iniciation, required more BT during follow-up (p=0,002).Conclusion:Prompt iniciation of BT was correlated with a better outcome. JIA patients that started BT early after diagnosis had a higher probability of remission after 2 years. Starting BT after 7,5 months was correlated with a higher probability of active disease at 2 years. Active disease at 24 months was correlated with persistent active disease during follow-up.Disclosure of Interests:None declared

scholarly journals Formulating Modes of Cooperative Leaning for Education for Sustainable Development

2021 ◽  
Vol 13 (6) ◽  
pp. 3465
Author(s):  
Jordi Colomer ◽  
Dolors Cañabate ◽  
Brigita Stanikūnienė ◽  
Remigijus Bubnys
Keyword(s):  
Sustainable Development ◽  
Real Life ◽  
Education For Sustainable Development ◽  
Professional Life ◽  
Global Challenges ◽  
Life Problems ◽  
The Face ◽  
Contemporary Education ◽  
The Impact

In the face of today’s global challenges, the practice and theory of contemporary education inevitably focuses on developing the competences that help individuals to find meaningfulness in their societal and professional life, to understand the impact of local actions on global processes and to enable them to solve real-life problems [...]

scholarly journals Changes in the Soundscape of the Public Space Close to a Highway by a Noise Control Intervention

2021 ◽  
Vol 13 (9) ◽  
pp. 5284
Author(s):  
Timothy Van Renterghem ◽  
Francesco Aletta ◽  
Dick Botteldooren
Keyword(s):  
Public Space ◽  
Real Life ◽  
Noise Abatement ◽  
Acoustic Environment ◽  
The Public ◽  
Control Intervention ◽  
Before And After ◽  
Noise Shielding ◽  
Visual Preferences ◽  
The Impact

The deployment of measures to mitigate sound during propagation outdoors is most often a compromise between the acoustic design, practical limitations, and visual preferences regarding the landscape. The current study of a raised berm next to a highway shows a number of common issues like the impact of the limited length of the noise shielding device, initially non-dominant sounds becoming noticeable, local drops in efficiency when the barrier is not fully continuous, and overall limited abatement efficiencies. Detailed assessments of both the objective and subjective effect of the intervention, both before and after the intervention was deployed, using the same methodology, showed that especially the more noise sensitive persons benefit from the noise abatement. Reducing the highest exposure levels did not result anymore in a different perception compared to more noise insensitive persons. People do react to spatial variation in exposure and abatement efficiency. Although level reductions might not be excessive in many real-life complex multi-source situations, they do improve the perception of the acoustic environment in the public space.

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

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.

scholarly journals Robots for Elderly Care in the Home: A Landscape Analysis and Co-Design Toolkit

2021 ◽  
Author(s):  
Gianluca Bardaro ◽  
Alessio Antonini ◽  
Enrico Motta
Keyword(s):  
Large Scale ◽  
Daily Life ◽  
Elderly Care ◽  
Real Life ◽  
Robotic Platform ◽  
Holistic View ◽  
Personal Assistants ◽  
Healthcare Interventions ◽  
The Impact ◽  
The Eu

AbstractOver the last two decades, several deployments of robots for in-house assistance of older adults have been trialled. However, these solutions are mostly prototypes and remain unused in real-life scenarios. In this work, we review the historical and current landscape of the field, to try and understand why robots have yet to succeed as personal assistants in daily life. Our analysis focuses on two complementary aspects: the capabilities of the physical platform and the logic of the deployment. The former analysis shows regularities in hardware configurations and functionalities, leading to the definition of a set of six application-level capabilities (exploration, identification, remote control, communication, manipulation, and digital situatedness). The latter focuses on the impact of robots on the daily life of users and categorises the deployment of robots for healthcare interventions using three types of services: support, mitigation, and response. Our investigation reveals that the value of healthcare interventions is limited by a stagnation of functionalities and a disconnection between the robotic platform and the design of the intervention. To address this issue, we propose a novel co-design toolkit, which uses an ecological framework for robot interventions in the healthcare domain. Our approach connects robot capabilities with known geriatric factors, to create a holistic view encompassing both the physical platform and the logic of the deployment. As a case study-based validation, we discuss the use of the toolkit in the pre-design of the robotic platform for an pilot intervention, part of the EU large-scale pilot of the EU H2020 GATEKEEPER project.

scholarly journals Energy-Efficient Packet Forwarding Scheme Based on Fuzzy Decision-Making in Underwater Sensor Networks

Sensors ◽  
2021 ◽  
Vol 21 (13) ◽  
pp. 4368
Author(s):  
Jitander Kumar Pabani ◽  
Miguel-Ángel Luque-Nieto ◽  
Waheeduddin Hyder ◽  
Pablo Otero
Keyword(s):  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Real Life ◽  
Base Station ◽  
Fuzzy Decision Making ◽  
Underwater Sensor Networks ◽  
Packet Forwarding ◽  
Node Number ◽  
The Impact

Underwater Wireless Sensor Networks (UWSNs) are subjected to a multitude of real-life challenges. Maintaining adequate power consumption is one of the critical ones, for obvious reasons. This includes proper energy consumption due to nodes close to and far from the sink node (gateway), which affect the overall energy efficiency of the system. These wireless sensors gather and route the data to the onshore base station through the gateway at the sea surface. However, finding an optimum and efficient path from the source node to the gateway is a challenging task. The common reasons for the loss of energy in existing routing protocols for underwater are (1) a node shut down due to battery drainage, (2) packet loss or packet collision which causes re-transmission and hence affects the performance of the system, and (3) inappropriate selection of sensor node for forwarding data. To address these issues, an energy efficient packet forwarding scheme using fuzzy logic is proposed in this work. The proposed protocol uses three metrics: number of hops to reach the gateway node, number of neighbors (in the transmission range of a node) and the distance (or its equivalent received signal strength indicator, RSSI) in a 3D UWSN architecture. In addition, the performance of the system is also tested with adaptive and non-adaptive transmission ranges and scalable number of nodes to see the impact on energy consumption and number of hops. Simulation results show that the proposed protocol performs better than other existing techniques or in terms of parameters used in this scheme.

scholarly journals A Framework for Assessing the Value of RFID Implementation by Tier-One Suppliers to Major Retailers

2008 ◽  
Vol 3 (1) ◽  
pp. 55-70
Author(s):  
Dharmaraj Veeramani ◽  
Jenny Tang ◽  
Alfonso Gutierrez
Keyword(s):  
Supply Chain ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Return On Investment ◽  
Real Life ◽  
Data Capture ◽  
Automatic Identification ◽  
Rfid Technology ◽  
Frequency Identification ◽  
The Impact

Radio frequency identification (RFID) is a rapidly evolving technology for automatic identification and data capture of products. One of the barriers to the adoption of RFID by organizations is difficulty in assessing the potential return on investment (ROI). Much of the research and analyses to date of ROI in implementing RFID technology have focused on the benefits to the retailer. There is a lack of a good understanding of the impact of RFID at upper echelons of the supply chain. In this paper, we present a framework and models for assessing the value of RFID implementation by tier-one suppliers to major retailers. We also discuss our real-life application of this framework to one of Wal-Mart’s top 100 suppliers

scholarly journals Understanding Cultural Preferences for Social Robots

2021 ◽  
Vol 10 (2) ◽  
pp. 1-19
Author(s):  
Oliver Korn ◽  
Neziha Akalin ◽  
Ruben Gouveia
Keyword(s):  
Cultural Values ◽  
Real Life ◽  
Emotional Awareness ◽  
Social Robots ◽  
Arab Countries ◽  
Cultural Backgrounds ◽  
Cultural Variations ◽  
Cultural Preferences ◽  
Design Preferences ◽  
The Impact

This article presents a study of cultural differences affecting the acceptance and design preferences of social robots. Based on a survey with 794 participants from Germany and the three Arab countries of Egypt, Jordan, and Saudi Arabia, we discuss how culture influences the preferences for certain attributes. We look at social roles, abilities and appearance, emotional awareness and interactivity of social robots, as well as the attitude toward automation. Preferences were found to differ not only across cultures, but also within countries with similar cultural backgrounds. Our findings also show a nuanced picture of the impact of previously identified culturally variable factors, such as attitudes toward traditions and innovations. While the participants’ perspectives toward traditions and innovations varied, these factors did not fully account for the cultural variations in their perceptions of social robots. In conclusion, we believe that more real-life practices emerging from the situated use of robots should be investigated. Besides focusing on the impact of broader cultural values such as those associated with religion and traditions, future studies should examine how users interact, or avoid interaction, with robots within specific contexts of use.

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