A Community-Based Semantic Social Context-Aware Driven Adaptation for Multimedia Documents

2015 ◽  
Vol 7 (2) ◽  
pp. 31-49 ◽  
Author(s):  
Adel Alti ◽  
Sébastian Laborie ◽  
Philippe Roose
Keyword(s):  
Semantic Representation ◽  
Service Selection ◽  
Community Based ◽  
Multimedia Documents ◽  
Runtime Adaptation ◽  
Semantic Query ◽  
Efficiency And Effectiveness ◽  
Representation Techniques ◽  
Context Constraints

This paper presents an approach to enhance users experience through the use of recommendations and social networks for on-the-fly (at runtime) adaptation of multimedia documents. This paper presents also CSSAP, a dynamic service selection and assembly tool based on new user profiles and community profiles defined as set of semantic metadata, which context, quality of service and quality of experience parameters. The tool is based on community-aware semantic services and offer architecture, with three layers (semantic query, community management and semantic services). The most innovative characteristic of the tool is that it profits from the potential of semantic representation techniques to express context constraints and community's interests, while they may be useful to generate and manage of complex dynamic adaptation process. This tool improves assembly of relevant adaptation services for communities inferred social influence from a Facebook as virtual P2P environment. The proposed approach has been validated through a prototype for mobiles user of multimedia contents exchanges. The goal is to improve assembly of potential adaptation services and the efficiency and effectiveness of the authors' approach.

Health releated quality of life in irritable bowel syndrome: A community based study+

2001 ◽  
Vol 120 (5) ◽  
pp. A634-A634 ◽  
Author(s):  
K OLDEN ◽  
W CHEY ◽  
J BOYLE ◽  
E CARTER ◽  
L CHANG
Keyword(s):  
Quality Of Life ◽  
Irritable Bowel Syndrome ◽  
Community Based ◽  
Irritable Bowel

SISTEM OTOMASI PENYIRAMAN TANAMAN BERBASIS TELEGRAM

SIGMA TEKNIKA ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 81
Author(s):  
Muhammad Irsyam
Keyword(s):  
Soil Moisture ◽  
Plant Growth ◽  
Water Intake ◽  
Smart Phone ◽  
Growth Failure ◽  
Automation System ◽  
Notification System ◽  
Efficiency And Effectiveness ◽  
Plant Automation

ABSTRAK           Faktor yang menentukan kegagalan pertumbuhan suatu tanaman hampir dipengaruhi oleh teknik atau cara penyiraman tanaman yang salah. Hal ini disebabkan oleh teknik penyiraman yang dilakukan secara manual sehingga tidak semua tanaman mendapatkan asupan air yang merata untuk menghidari tanaman menjadi layu. Faktor lain yang menyebabkan kegagalan pertumbuhan tanaman adalah kelembaban tanah.          Oleh karena itu, untuk mengurangi permasalahan tersebut dirancanglah “Sistem Otomasi Penyiraman Tanaman Berbasis Telegram”. Adapun sistem ini meliputi penyiraman tanaman secara otomatis berdasarkan kadar kelembaban tanah dengan sistem pemberitahuan atau notifikasi yang akan dikirimkan kepada petani dengan menggunakan aplikasi smart phone Telegram.          Sistem ini telah mampu mengontrol penyiraman sesuai dengan kondisi yang diinginkan. Dengan adanya sistem otomasi penyiraman tanaman berbasis telegram maka dapat meningkatkan efesiensi dan efektivitas petani sehingga kualitas tanaman dapat terjaga dengan baik.Kata kunci -- Penyiraman Tanaman, Penyiraman Secara Otomatis, Telegram.ABSTRACT                Factors that determine the failure of a plant's growth of almost are influenced by incorrect cropping techniques or methods. This is caused by the technique of watering is done manually so that not all plants get a uniform water intake to avoid crops withered. Another factor that causes plant growth failure is soil moisture.          Therefore, to reduce the problem was designed "Telegram Based Water Planting Automation System". The system includes automatic watering of plants based on moisture level of the soil with a notification or notification system that will be sent to farmers using Telegram smart phone applications.          This system has been able to control the watering according to the desired conditions. With the telegraph-based plant watering plant automation system can improve the efficiency and effectiveness of farmers so that the quality of the plant can be maintained properly. Keywords -- Watering Plants, Watering Automatically, Telegram.  

Changes in quality of life in forensic psychiatric outpatients after 6 months of community-based treatment

2010 ◽  
Vol 4 (4) ◽  
pp. 257-270 ◽  
Author(s):  
Yvonne H. A. Bouman ◽  
Corine De Ruiter ◽  
Aart H. Schene
Keyword(s):  
Quality Of Life ◽  
Psychiatric Outpatients ◽  
Community Based ◽  
Forensic Psychiatric

scholarly journals Impact and cost-effectiveness evaluation of a community-based rehabilitation intervention on quality of life among Chinese adults with hearing loss: study protocol for a randomized controlled trial

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Xin Ye ◽  
Dawei Zhu ◽  
Siyuan Chen ◽  
Xuefeng Shi ◽  
Rui Gong ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Hearing Loss ◽  
Cost Effectiveness ◽  
Treatment Group ◽  
Hearing Aids ◽  
Control Group ◽  
Chinese Adults ◽  
Community Based ◽  
The Impact

Abstract Background Hearing loss is quite prevalent and can be related to people’s quality of life. To our knowledge, there are limited studies assessing the efficacy of hearing interventions on quality of life in adults. Therefore, we aim to conduct a randomized controlled trial (RCT) to determine the impact and cost-effectiveness of community-based hearing rehabilitation on quality of life among Chinese adults with hearing loss. Methods/design In this two-arm feasibility study, participants aged 16 and above with some degree of hearing loss (n = 464) will be recruited from Linyi City, Shandong Province. They are randomly assigned to the treatment group or the control group. Those in the treatment group are prescribed with hearing aids, while those in the control group receive no intervention. Reinstruction in use of devices is provided for the treatment group during booster visits held 12 months post-randomization or unscheduled interim visits when necessary. Data are collected at baseline and the follow-up 20 months later. The primary outcome is changes in quality of life over a 20-month study period. Secondary outcomes include sub-dimensions in quality of life, physical functioning, chronic diseases, cognitive function, depression, social support, hospitalizations, falls, and healthcare costs. Finally, we will evaluate whether hearing aids intervention is cost-effective to apply in a large scale. Discussion The trial is designed to evaluate the impact and cost-effectiveness of a community-based rehabilitation intervention on quality of life among Chinese adults with hearing loss. We hope that it would help improve the well-being for Chinese adults and provide references in policy and practice for China and other countries. Trial registration Chinese Clinical Trial Registry ChiCTR1900024739. Registered on 26 July 2019.

scholarly journals A Personalized Machine-Learning-Enabled Method for Efficient Research in Ethnopharmacology. The Case of the Southern Balkans and the Coastal Zone of Asia Minor

2021 ◽  
Vol 11 (13) ◽  
pp. 5826
Author(s):  
Evangelos Axiotis ◽  
Andreas Kontogiannis ◽  
Eleftherios Kalpoutzakis ◽  
George Giannakopoulos
Keyword(s):  
Machine Learning ◽  
Coastal Zone ◽  
Extraction Process ◽  
Asia Minor ◽  
Efficiency And Effectiveness ◽  
Effectiveness And Efficiency ◽  
Intelligent Tools ◽  
Southern Balkans

Ethnopharmacology experts face several challenges when identifying and retrieving documents and resources related to their scientific focus. The volume of sources that need to be monitored, the variety of formats utilized, and the different quality of language use across sources present some of what we call “big data” challenges in the analysis of this data. This study aims to understand if and how experts can be supported effectively through intelligent tools in the task of ethnopharmacological literature research. To this end, we utilize a real case study of ethnopharmacology research aimed at the southern Balkans and the coastal zone of Asia Minor. Thus, we propose a methodology for more efficient research in ethnopharmacology. Our work follows an “expert–apprentice” paradigm in an automatic URL extraction process, through crawling, where the apprentice is a machine learning (ML) algorithm, utilizing a combination of active learning (AL) and reinforcement learning (RL), and the expert is the human researcher. ML-powered research improved the effectiveness and efficiency of the domain expert by 3.1 and 5.14 times, respectively, fetching a total number of 420 relevant ethnopharmacological documents in only 7 h versus an estimated 36 h of human-expert effort. Therefore, utilizing artificial intelligence (AI) tools to support the researcher can boost the efficiency and effectiveness of the identification and retrieval of appropriate documents.

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