Overall Summary Sample Clauses

Overall Summary. The objective of this section is to provide a short narrative statement that characterizes a country’s Argos participation, programme, and future directions. This section can also be looked at as an abstract of section 2 – section 6.
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Overall Summary. The United Arab Emirates had eight active programs, out of the total 12 programs registered in the country. Of the 12, 2 are on hold, one completed and for one there no feedback was received. All the registered programs in the country are on wildlife. Of the active programs, seven are on birds, and one marine xxxxxx.xxx on marine mammal and another on fishes. A major project on sea turtles was completed last year. The Gulf Green Turtle Project (2016-2019), a EWS-WWF regional initiative aimed to help form a robust regional baseline upon which strategies can be designed to address species population priorities, rather than solely focusing on fragmented national actions that do not benefit highly migratory species. The project will work with local and regional partners to investigate habitat use and hotspot areas for green sea turtles (Chelonia mydas), as these comprise the most abundant turtle species in the inner Gulf region and the second most abundant in Oman, and are listed as Endangered on the IUCN Red List. The use of Argos program in the UAE has been highly successful in improving the conservation of the tracked species and their habitats. Family Program Number Program Name Organization Program Manager Status Bird 1440 Wildlife in Asia and Africa International Fund For Houbara Conservation Xxxxxxxx X. Al Baidani Active Bird 3763 Emirates Centre for the Conservation of Houbara Emirates Centre for the Conservation of Houbara (ECCH) Uzbekistan. Xxxx Xxxxxxx Active Bird 3416 Survey of Houbara bustard ECWP (Emirates Centre for Wildlife Propagation) Morocco. Yves Hingrat Active Bird 4162 Post-natal dispersal of Houbara bustards Emirates Bird Breeding Centre for the Conservation of Houbara-Abu Dhabi (EBBCC) Keith Scotland Active Bird 3657 Birds Arabia Environment Agency Xxxxx Xxxxx Active Dugong 23657 Dugongs in AD (sub program of 3657) Environment Agency Xxxxxxx Xxx On hold Bird 5421 Socotra cormorant foraging ecology United Arab emirates university Xxxxx Xxxxxxxx Completed Marine Animals 5073 Burj al Arab Burj al Arab Xxxxxx Xxxxxxxxxx Not Known Fish 15073 Fish Tag Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxxx Active Marine Animals 4189 Gulf turtle project (sub-program 4189) Emirates Wildlife Society-WWF Xxxx Xxxxx Xxxxxx Active Land Animals 24189 Ungulates (sub-program 4189) Emirates Wildlife Society-WWF Xxxx Xxxxx Xxxxxx On hold Birds 2180 Falcons (Saker, Peregrine & Gyr) Environment Agency-Abu Dhabi (IWC) Xxxxxx Xxxxx Active
Sample 1
Overall Summary. The work package is focused on translating core research into applications. The three main objectives are (1) ensuring that the needs of important European industry are adequately then into account within the research agenda, (2) making sure that key results are evaluated 2 xxxxx://xxx.xxxx.xxx.xxx/2023-xxxxxxx-summer-workshop , xxxxx://xxxxx0000.xxxx-xxxxxx.xx/en/index.html in industrially (and socially) relevant use cases and (3) making sure that the knowledge created by the microprojects of WP1-5 reaches key European industrial players. The MPs related to the goals of WP6 in the second period are: • “Neural Mechanism in Human Brain Activity During Weight Lifting” • “Polarization with the Xxxxxxxx-Xxxxxxx model over a dynamic social network” • “Trustworthy Voting Advice Applications” • “The temporal and biological factors of our vulnerability to disinformation” • “Telefonica 2– validating the air quality prototype in a real city” • “Telefonica 3– assessing the ethical and societal impact of the air quality system” • “Multi-layer evaluation sets for speech translation of web-based meetings” • “XAI model for human readable data aimed at connected car crash detection” The goal of fulfilling the research needs of industry is addressed by several MPs. The MP “Neural Mechanism in Human Brain Activity During Weight Lifting” is an industrial collaboration investigating the use of EEG (electroencephalography) signals for detecting the motion as well as the variable weights a person is lifting. These result could result in a variety of applications, fulfilling the goal of WP6 of fulfilling the research needs of industry. For example, this system could be used to develop rehabilitation systems robust to dynamic changes in weight. Moreover, information regarding weight change could contribute to a better estimation of fatigue condition to be used in sports and training applications. Finally, it has been evaluated that the approach to predict different categories of lifted weight could be used in further optimizations in industrial applications for which usage of exoskeleton can be given as an example. The MP “Multi-layer evaluation sets for speech translation of web- based meetings” produced datasets for translation (for English->Latvian, Latvian->English, and Lithuanian->English). The microproject produced data that will be beneficial for future developments of speech translation and automatic minuting systems. Several MPs contribute to the WP6 goal of making sure ...
Sample 1
Overall Summary. WP7 aims at providing research and mechanisms to support the creation of start-ups, the transformation of traditional (non-digital) SMEs into high-tech companies, and to push agile innovation in major industries. The main objectives are:
Sample 1
Overall Summary. ‌ The present study was designed to determine the relationship between trait emotional intelligence (EI), self-efficacy, and job satisfaction of secondary school teachers in Nur-Sultan, Kazakhstan. In response to this research purpose, the following three research questions were developed: How are teachers’ trait emotional intelligence, self-efficacy, and job satisfaction best measured in the Kazakhstani contexts? What is the relationship between Kazakhstani teachers’ trait emotional intelligence, self-efficacy, and job satisfaction? And, to what extent is teachers’ trait emotional intelligence associated with teacher self-efficacy and job satisfaction? The study adopted a cross-sectional research design. This included descriptive statistics, the use of confirmatory factor analysis (CFA) to answer RQ1 and RQ2, and structural equation modelling (SEM) to answer RQ3. CFA and SEM procedures were undertaken with the assistance of the lavaan (Rosseel, 2012) R package as a general technique in this study to assess the validity of substantive theory in the field of trait EI and teacher job satisfaction and self-efficacy. The self-report survey was administered to teacher respondents using an online application, Qualtrics. The total number of 107 teacher respondents participated from 11 separate public schools (n = 97) and three separate private schools (n = 10) in the city of Nur-Sultan, Kazakhstan. For the independent variable of this study, the Short Form of Trait Emotional Intelligence Questionnaire (TEIQue-SF), and for the dependent variables of the study, the OECD Teacher Self-Efficacy and Teacher Job Satisfaction Questionnaires were used. All the questionnaires were adopted with their translations in Kazakh and Russian languages. The total time to complete the survey questionnaires was around 20 minutes. The main finding of this study was that the factors of trait EI (Well-being and Self- Control) and factors of Self-Efficacy (Classroom Management and Instructional Strategies) and Job Satisfaction provide an appropriate way to measure the experiences of teachers in the context of Nur-Sultan, Kazakhstan. Another more significant finding to emerge from this study is that there were statistically significant inter-factor correlations between Well-being and Self-control, Self-efficacy (CM) and Self-efficacy (IS), Well-being and Job satisfaction, Self-control and Job satisfaction, Self-Efficacy (IS) and Job satisfaction, and Self-Efficacy (CM) and Well-being. Thi...
Sample 1

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