scholarly journals Research Promoting Guidelines for the College of Government, Rangsit University, Thailand

2016 ◽  
Vol 8 (2) ◽  
pp. 96 ◽  
Author(s):  
Kittisak Jermsittiparsert ◽  
Thanaporn Sriyakul ◽  
Arunee Kasayanond
Keyword(s):  
Ad Hoc ◽  
Performance Indicator ◽  
Organization Culture ◽  
Lessons Learned ◽  
Promotion Policy ◽  
Support Programme ◽  
Research Activities ◽  
Research Publications ◽  
Long Run ◽  
Research Initiatives

<p class="Body">Considering that researches are perceived as the main mission for every universities in Thailand, a key performance indicator representing performance quality of relevant agencies, as well as an assessment factor for world leading university ranking programmes. None the less, there are no clear guidelines set by the College of Government, Rangsit University with respect to the internal practices towards the promotion of research activities. Accordingly, this study aims to (i) examine all researches context and research promotion policy found within the College of Government, Rangsit University; (ii) conduct a strength-weakness analysis; (iii) analyse experiences and lessons learned of other institutes; and lastly; (iv) provide applicable recommendations, based on literature reviews of both primary and secondary materials, for the College. From the research findings, it is discovered that (i) supports given by the University have, in general, led to a higher number of research publications, however, more could still be achieved should they had utilised the support programme more effectively; (ii) despite the College’s research support programme including its fostering environment and favourable organization culture, a lack of research initiatives as well as limited number of competent staffs are essentially main challenges that restrict possible research potentials; (iii) the challenges faced by either the College or Rangsit University are also present amongst other institutions, of which they have laid down relevant guidelines aiming to promote research publications; (iv) there are three steps that the College could undergo, as an ad hoc response, the College should provide greater research incentives and more supporting environment for its academics, followed by creating appealing conditions to encourage publications and disseminations, and lastly as an ultimate long run solution, practical strategy and systematic regimes should be put in place.</p>

scholarly journals Managing Clinical Trials for Alzheimer’s Disease During the COVID-19 Crisis: Experience at Fundació ACE in Barcelona, Spain

2020 ◽  
Vol 77 (4) ◽  
pp. 1805-1813
Author(s):  
Carla Abdelnour ◽  
Ester Esteban de Antonio ◽  
Alba Pérez-Cordón ◽  
Asunción Lafuente ◽  
Mar Buendía ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Ad Hoc ◽  
Strategic Plan ◽  
Lessons Learned ◽  
Drop Out ◽  
Rt Pcr ◽  
Serological Tests ◽  
Clinical Trial Research ◽  
Research Activities ◽  
The Impact

Background: The COVID-19 pandemic has brought great disruption to health systems worldwide. This affected ongoing clinical research, particularly among those most vulnerable to the pandemic, like dementia patients. Fundació ACE is a research center and memory clinic based in Barcelona, Spain, one of the hardest-hit countries. Objective: To describe the ad-hoc strategic plan developed to cope with this crisis and to share its outcomes. Methods: We describe participants’ clinical and demographic features. Additionally, we explain our strategic plan aimed at minimizing the impact on clinical trial research activities, which included SARS-CoV-2 RT-PCR and IgG serological tests to all participants and personnel. The outcomes of the plan are described in terms of observed safety events and drop-outs during the study period. Results: A total of 130 patients were participating in 16 active clinical trials in Fundació ACE when the lockdown was established. During the confinement, we performed 1018 calls to the participants, which led to identify adverse events in 26 and COVID-19 symptoms in 6. A total of 83 patients (64%) could restart on-site visits as early as May 11, 2020. All SARS-CoV-2 RT-PCR diagnostic tests performed before on-site visits were negative and only three IgG serological tests were positive. Throughout the study period, we only observed one drop-out, due to an adverse event unrelated to COVID-19. Discussion: The plan implemented by Fundació ACE was able to preserve safety and integrity of ongoing clinical trials. We must use the lessons learned from the pandemic and design crisis-proof protocols for clinical trials.

Cloud Computing for Education and Research in Developing Countries

2012 ◽  
pp. 64-80 ◽  
Author(s):  
Hong-Linh Truong ◽  
Tran-Vu Pham ◽  
Nam Thoai ◽  
Schahram Dustdar
Keyword(s):  
Cloud Computing ◽  
Developing Countries ◽  
Ad Hoc ◽  
Lessons Learned ◽  
Research Institutions ◽  
Teaching And Research ◽  
Teaching Activities ◽  
Daily Work ◽  
Research And Teaching ◽  
Research Activities

Recently cloud computing has offered attractive solutions for academic and research institutions due to several reasons. In this chapter, the authors present a study of how cloud computing can be used for research and teaching activities in higher educational and research institutions in developing countries. Instead of focusing on cloud computing offering for basic IT infrastructures used in daily work of these institutions, the authors concentrate on the use of cloud computing for satisfying ad hoc needs of computing resources in research and teaching activities. Thorough analyses of research and teaching activities, requirements for cloud computing, benefits of utilizing cloud computing, and adoption barriers for these activities are also included. The authors then present the selected challenges in tackling these barriers and discuss possible approaches for solving these challenges and report lessons learned and experiences in utilizing and developing cloud computing solutions for teaching and research activities in Vietnam.

scholarly journals Artificial Intelligence and Behavioral Science Through the Looking Glass: Challenges for Real-World Application

2020 ◽  
Vol 54 (12) ◽  
pp. 942-947
Author(s):  
Pol Mac Aonghusa ◽  
Susan Michie
Keyword(s):  
Climate Change ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Behavior Change ◽  
Behavioral Science ◽  
Lessons Learned ◽  
Learning Approaches ◽  
Intervention Evaluation ◽  
Research Activities ◽  
Behavior Change Interventions

Abstract Background Artificial Intelligence (AI) is transforming the process of scientific research. AI, coupled with availability of large datasets and increasing computational power, is accelerating progress in areas such as genetics, climate change and astronomy [NeurIPS 2019 Workshop Tackling Climate Change with Machine Learning, Vancouver, Canada; Hausen R, Robertson BE. Morpheus: A deep learning framework for the pixel-level analysis of astronomical image data. Astrophys J Suppl Ser. 2020;248:20; Dias R, Torkamani A. AI in clinical and genomic diagnostics. Genome Med. 2019;11:70.]. The application of AI in behavioral science is still in its infancy and realizing the promise of AI requires adapting current practices. Purposes By using AI to synthesize and interpret behavior change intervention evaluation report findings at a scale beyond human capability, the HBCP seeks to improve the efficiency and effectiveness of research activities. We explore challenges facing AI adoption in behavioral science through the lens of lessons learned during the Human Behaviour-Change Project (HBCP). Methods The project used an iterative cycle of development and testing of AI algorithms. Using a corpus of published research reports of randomized controlled trials of behavioral interventions, behavioral science experts annotated occurrences of interventions and outcomes. AI algorithms were trained to recognize natural language patterns associated with interventions and outcomes from the expert human annotations. Once trained, the AI algorithms were used to predict outcomes for interventions that were checked by behavioral scientists. Results Intervention reports contain many items of information needing to be extracted and these are expressed in hugely variable and idiosyncratic language used in research reports to convey information makes developing algorithms to extract all the information with near perfect accuracy impractical. However, statistical matching algorithms combined with advanced machine learning approaches created reasonably accurate outcome predictions from incomplete data. Conclusions AI holds promise for achieving the goal of predicting outcomes of behavior change interventions, based on information that is automatically extracted from intervention evaluation reports. This information can be used to train knowledge systems using machine learning and reasoning algorithms.

Securing the future of statistics in Africa through National Strategies for the Development of Statistic

2020 ◽  
Vol 36 ◽  
pp. 15-25
Author(s):  
Ben Kiregyera
Keyword(s):  
Ad Hoc ◽  
Lessons Learned ◽  
Global Level ◽  
African Countries ◽  
Implementation Challenges ◽  
Statistical Systems ◽  
Development Agendas ◽  
Different Levels ◽  
Statistical Development

Adoption of development agendas at different levels – national, regional, continental, and global level – has led to an unprecedented increase in demand for official statistics. This increase has not only brought to the fore a litany of challenges facing National Statistical Systems (NSSs) in Africa but also it has created opportunities for strengthening statistical production and development. This paper underscores the need for countries to take full advantage of these opportunities and increase investments in statistics, undertake data innovation, and expand and diversify data ecosystems, leveraging on the foundations of the data revolution for sustainable development and in line with current international statistical frameworks. The paper posits that these improvements will not happen coincidentally nor through ad hoc, piecemeal and uncoordinated approaches. Rather they will happen through more systematic, coordinated and multi-sectoral approaches to statistical development. The National Strategy for the Development of Statistics (NSDS) is presented as a comprehensive and robust framework for building statistical capacity and turning around NSSs in African countries. The paper unpacks the NSDS; elaborates the NSDS processes including; mainstreaming sectors into the NSDS, the stages of the NSDS lifecycle and the role of leadership in the NSDS proces; highlights NSDS extension; presents the design and implementation challenges, and the key lessons learned from the NSDS processes in Africa in the last 15 years or so.

scholarly journals Flying Ad Hoc Networks: A New Domain for Network Communications

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3571 ◽  
Author(s):  
Antonio Guillen-Perez ◽  
Maria-Dolores Cano
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Added Value ◽  
Research Activities ◽  
Communication Links ◽  
Communication Devices ◽  
Hoc Networks ◽  
5 Ghz ◽  
The Impact

The advent of flying ad hoc networks (FANETs) has opened an opportunity to create new added-value services. Even though it is clear that these networks share common features with its predecessors, e.g., with mobile ad hoc networks and with vehicular ad hoc networks, there are several unique characteristics that make FANETs different. These distinctive features impose a series of guidelines to be considered for its successful deployment. Particularly, the use of FANETs for telecommunication services presents demanding challenges in terms of quality of service, energy efficiency, scalability, and adaptability. The proper use of models in research activities will undoubtedly assist to solve those challenges. Therefore, in this paper, we review mobility, positioning, and propagation models proposed for FANETs in the related scientific literature. A common limitation that affects these three topics is the lack of studies evaluating the influence that the unmanned aerial vehicles (UAV) may have in the on-board/embedded communication devices, usually just assuming isotropic or omnidirectional radiation patterns. For this reason, we also investigate in this work the radiation pattern of an 802.11 n/ac (WiFi) device embedded in a UAV working on both the 2.4 and 5 GHz bands. Our findings show that the impact of the UAV is not negligible, representing up to a 10 dB drop for some angles of the communication links.

scholarly journals Qualitative Assessment of Research done at Two Premier Medical Institutes in India: Some Data for Introspection

2012 ◽  
Vol 46 (1) ◽  
pp. 24-33
Author(s):  
KLN Rao ◽  
Ravi Prakash Kanojia ◽  
Kirti Kumar Rathod
Keyword(s):  
Scientific Research ◽  
Qualitative Assessment ◽  
Quality Analysis ◽  
Original Research ◽  
Index Number ◽  
H Index ◽  
Research Publications ◽  
Long Run ◽  
Number Of Publications ◽  
Outcome Utility

ABSTRACT Aim To perform a qualitative assessment of research publications coming from two premier medical institutes in India. Materials and methods Research publications from AIIMS and PGIMER published during 2004 to 2008 were analyzed. The publications were categorized into five types. A year-wise analysis was done for both the institutes. Data was obtained from Scopus. The collected data included the number of papers published in a category, total citations received by a type of publication in a year, number of publications which have no citations, number of publications with only one citation, h-index, number of zero and only one citation were added to get publications with negligible citations. Results A total number of 4,828 and 2,882 research publications were analyzed from AIIMS and PGIMER respectively. The original articles attracted highest no of citations that is 64 and 66% of the total citations in a year for AIIMS and PGIMER respectively. Approximately 37 to 42% of the original articles get negligible citations. The h-index for various categories of article was higher for the original articles (18/13), whereas it was very low for other category of research publications. Conclusion The original articles fetch more citations in long run. Close to 40% of the original research done in the studied institutes get negligible citations pointing toward their outcome utility and quality. More than 60% of the minor category publications remain uncited. This sort of data if periodically obtained should serve as a benchmark for quality analysis of scientific research. How to cite this article Kanojia RP, Rathod KK, Rao KLN. Qualitative Assessment of Research done at Two Premier Medical Institutes in India: Some Data for Introspection. J Postgrad Med Edu Res 2012;46(1):24-33.

Parallel Genomic Sequence-Searching on an Ad-Hoc Grid: Experiences, Lessons Learned, and Implications

2006 ◽  
Author(s):  
Mark K. Gardner ◽  
Wu-chun Feng ◽  
Jeremy Archuleta ◽  
Heshan Lin ◽  
Xiaosong Ma
Keyword(s):  
Ad Hoc ◽  
Genomic Sequence ◽  
Lessons Learned

Tendencias minimalistas en la gestión de los bosques tropicales mexicanos: motivaciones y experiencias

2021 ◽  
Vol 348 ◽  
pp. 29-36
Author(s):  
Martin Alfonso MENDOZA B. ◽  
Angélica NAVARRO-MARTÍNEZ ◽  
Carl W. MIZE ◽  
Gerson Daniel ALDUCIN CHÁVEZ ◽  
Patricia NEGREROS-CASTILLO
Keyword(s):  
Forest Management ◽  
Performance Indicator ◽  
Timber Harvesting ◽  
Land Value ◽  
Tropical Regions ◽  
Slash And Burn ◽  
Tropical Timber ◽  
Long Run ◽  
Residual Stock ◽  
Rational Management

Tropical timber regions across the world share common problems such as degradation and poor regeneration after timber harvesting. Traditional Mayan land management through slash and burn is now recognized as an effective way of renewing forest stands in multispecies tropical forests. The practice of slash and burn for forest management in Mexico has led to area regulation, which has made land value a convenient means of assessing alternative forest plans. The use of expected land value as a performance indicator shifts the manager's attention from managing a species mix to balancing financial tradeoffs between liquidation or retention of the standing biomass. Since the forest-wide residual stock is so large, land value overrides the importance of revenue from timber sales. Several forest management methods along these lines have appeared in tropical regions of Mexico over a thirty-year time span and represent a patrimonial system of forest management (PS). The gradual innovation generated by PS is described here, as well as examples of PS practices. PS methods today provide stewardship for a total of 155,814 ha in different parts of Mexico. PS performance will become evident in the long run; in the meantime, the embrace of PS by private landowners and regulatory institutions is equated with a positive, independent opinion about PS design. The Mexican experience suggests pathways for rational management of all types of forests. PS features that are worth replicating are, for instance, the inclusion of disturbance patterns as factors in decision making, as well as the use of specific silvicultural regimes for roads, woodlands, closed forests, hilltops, swamps, riparian zones, clearings and forest edges.

Enhancing the Drilling Performance Management on a Large Drilling Operation

2021 ◽  
Author(s):  
Alvin Ivan Handoko ◽  
Henry Edward Khella ◽  
Erwan Couzigou ◽  
Adel Abdulrahman Al-Marzouqi
Keyword(s):  
Performance Management ◽  
Performance Indicator ◽  
Root Cause Analysis ◽  
Systematic Investigation ◽  
Lessons Learned ◽  
Company Performance ◽  
Cause Analysis ◽  
Large Organization ◽  
Root Cause ◽  
Drilling Performance

Abstract Since the implementation of the Drilling Performance Department in late 2017, ADNOC Offshore has been able to develop a company performance-oriented culture among the drilling teams. This performance culture is reflected in 25% ILT reduction in 2018 and 12% in 2019. Furthermore, 37 NPT RCA cases were investigated and concluded in 2019, which resulted in 57 actions for tracking and closure. With 5 (five) concessions, 9 (nine) different shareholders, and 39 (thirty-nine) rigs, drilling performance management is challenging. ADNOC Offshore created a centralized Drilling Performance Team to capitalize on this diversity as an opportunity to improve the traditional drilling performance role. This paper describes the team's approach on Drilling Performance and the consecutive result. The team enhances the typical drilling performance role of Key Performance Indicator (KPI) management and reporting by adopting the Performance Opportunity Time (POT) and Root Cause Analysis (RCA) Process. At the same time, the Drilling Performance Team facilitates the flow of information between teams to ensure effective knowledge transfer within such a large organization. The POT concept tackles the well duration reduction through the reduction of Invisible Lost Time (ILT) and Non-Productive Time (NPT). To reduce the ILT, the team took advantage of the extensive technical background in the various drilling teams. Performance improvement initiatives were proposed by taking references from different teams within ADNOC Offshore and evaluating the application in other concession. Other approach is to compare with out-of-company references. For NPT reduction, the innovative approach was to use the HSE Root Cause Analysis (RCA) concept. This RCA process led by the Drilling Performance Team was implemented to standardize the approach and have a systematic investigation analysis. This process resulted in identifying root causes and effective corrective action plans. As per HSE, addressing the root causes of incidents would result in the most significant impact in NPT. This approach also allows an independent and more detailed look on the subjects, where commonly these tasks are done in a limited manner by drilling teams alone with their ongoing operational workload. Finally, results are communicated to the drilling organization through lessons learned portal and technical bulletins.

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