Real-World Deployment of a Locally-Developed Tilt and Moisture Sensor for Landslide Monitoring in the Philippines

2011 ◽  
Author(s):  
Joel S. Marciano Jr. ◽  
Mark Albert H. Zarco ◽  
Marc Caesar R. Talampas ◽  
Sandra G. Catane ◽  
Calvin G. Hilario ◽  
...  
Keyword(s):  
Real World ◽  
The Philippines ◽  
Landslide Monitoring ◽  
Moisture Sensor

A Physical and Numerical Based Model for Early Prediction of Landslides Using Wireless Sensor Network

2020 ◽  
Author(s):  
Khaled Rabie ◽  
Vinay Singh ◽  
Vikram Vishal ◽  
Tariq Ansari ◽  
T N Singh
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Slope Failure ◽  
Vibration Sensor ◽  
Wireless Sensor ◽  
Initial Slope ◽  
Medium Size ◽  
Small Scale ◽  
Landslide Monitoring ◽  
Moisture Sensor

Landslides are a frequent and recurrent problem in hilly regions of India and predicting them is always a challenging task. In this paper, an attempt was made to deal with this problem using advanced physical and numerical modeling methods. Detailed understanding of the initial slope failures is very interesting, and challenging at the same time, in the design and development of wireless sensor network based on early warning of landslide monitoring. A small scale physical model was developed to assess the instability through a sensor network with variable rain fall intensity. This was achieved by increasing the simulated rain water flow intensity in different time spans (dry condition, at t=0 to t= 30 min, 0.5 mm/min at t=30 to t= 60 min, 0.75 mm/min at t=60 to t=91 min and 1 mm/min at t=91 to t= 120 min). The water level and movement in the slope was recorded by rainfall sensor, vibration sensor, soil moisture sensor and a digital camera. The following changes were observed during the slope failure: a) movement of small particles at top of the slope; b) initial failure of medium size soil particle; c) scouring of soil mass; d) whole slope collapse. The obtained results clearly indicated the superiority and effectiveness of the proposed system in providing a factor of safety for the progressive slope.

OP13 2017 Health Technology Assessment International Asia Policy Forum: The Perspective Of Not-For-Profit Members

2018 ◽  
Vol 34 (S1) ◽  
pp. 6-6
Author(s):  
Raoh-Fang Pwu ◽  
Rebecca Trowman
Keyword(s):  
Health Technology Assessment ◽  
Technology Assessment ◽  
Real World ◽  
Health Technology ◽  
The Philippines ◽  
Real World Data ◽  
World Data ◽  
For Profit ◽  
Not For Profit ◽  
Policy Forum

Introduction:The fifth Health Technology Assessment International (HTAi) Asia Policy Forum (APF) was held in Beijing, November 2017. The topic of the meeting was ‘Universal Health Care in the Asia Region: Overcoming the Barriers using HTA and Real World Data’. This presentation will focus on the use of real world data (RWD) as a mechanism of informing HTA in the Asia region – from the perspective of the not-for-profit HTA agencies that were represented at the APF.Methods:The 2017 HTAi APF had senior representatives from government and HTA agencies from 11 countries in the Asia region. This included first-time attendees from Iran, Indonesia and the Philippines. A keynote presentation on the lessons learnt from Taiwan on the use of RWD was delivered, and there were guided breakout group discussions.Results:There are a number of registries and sources of RWD available to the HTA agencies across the Asia region. However it was noted that the databases are resource intensive to maintain, and there are noted time lags in the data collection and release. There are examples where the data from these sources have been used to evaluate local utilization of treatments and post-market surveillance, but it has not yet been used in pricing/reimbursement decisions.Conclusions:Although RWD could be a good tool for healthcare decision-making in the Asia region, it is still unclear how to do so properly. Infrastructure and human capacity, as well as law, are key factors to the successful use of RWD. Standardized methodologies, increased transparency, quality control and capacity building are essential elements to better implementing RWD in HTA.

scholarly journals Integrated Earthquake and Landslide Monitoring Over Wireless Sensor Network

2019 ◽  
Vol 8 (4) ◽  
pp. 9594-9599
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Warning System ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Landslide Monitoring ◽  
Processing Unit ◽  
Time Data ◽  
Moisture Sensor ◽  
The Impact

Natural disasters have mercilessly devastated our lives in so many different terms. The impact of Earthquake and landslides are very severe because of their unpredictability. To alleviate the problem early warning system plays an important role. In this paper, we proposed an integrated earthquake and landslide monitoring system overthewireless sensor network. The Wireless Sensor Network is programmed to acquire the data, which is monitored and controlled centrally or independently and can be distributed widely in a random or planned deployment. By detecting suspicious indications such as tremor or landslides through sensor nodes, the system provides information to the monitoring and warning station. The processing unit is composed of arduino and Sensors such as 4.5 Flex Sensor, Capacitive Soil Moisture Sensor and a3-Dimensional Accelerometer are used in the proposed system to monitor landmass displacement/movement, the moisture level of the soil and the vibrations for earthquakes respectively. An RF module, XBee S2C is used which provides wireless communication with a range of about a 1 km line of sight and 60 meters indoor. The real-time data can be accessed via the internet. It will be powered from a 12V 20W solar panel with rechargeable Li-Ion Battery and fitted with necessary protection and charging circuit boards. The proposed system can be used in earthquake and landslide prone area to avoid damages to life and property in the area of operation by providing crucial information and further warning for any disastrous development. The proposed system is implemented through experiments and proved to be effective

Clinical features and real-world outcomes of Guillain–Barré syndrome in the Philippines

2021 ◽  
pp. 1-10
Author(s):  
Adrian I. Espiritu ◽  
Karl Josef Niño J. Separa ◽  
Francis Jordan C. Milla ◽  
Karen Joy B. Adiao ◽  
Carl Froilan D. Leochico ◽  
...  
Keyword(s):  
Clinical Features ◽  
Real World ◽  
The Philippines ◽  
Guillain Barre Syndrome ◽  
Guillain Barré Syndrome ◽  
Guillain Barré

scholarly journals Nutritional Management of Gastroesophageal Reflux Among Infants in the Philippines: Insights From Real-World Evidence

2019 ◽  
Vol 8 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Felizardo Gatcheco ◽  
Maria Imelda Vitug Sales ◽  
Grace Battad ◽  
Marilou Tan ◽  
Ma Cecilia D. Gloria ◽  
...  
Keyword(s):  
Gastroesophageal Reflux ◽  
Real World ◽  
The Philippines ◽  
Nutritional Management ◽  
Real World Evidence

Real-world biomarker testing practices in cancer treatment in a lower-middle income country in Southeast Asia.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e19042-e19042
Author(s):  
Lance Isidore Garcenila Catedral ◽  
Harold Nathan Tan ◽  
Alfredo Viray Chua ◽  
Danielle Benedict Leoncio Sacdalan ◽  
Dennis Sacdalan
Keyword(s):  
Clinical Practice ◽  
Clinical Practice Guidelines ◽  
Practice Guidelines ◽  
Real World ◽  
The Philippines ◽  
Middle Income Country ◽  
Middle Income ◽  
Lung Cancers ◽  
Medical Oncologists ◽  
Biomarker Testing

e19042 Background: Several factors affect how medical oncologists in the Philippines, a lower middle income country, incorporate biomarkers in real-world practice. This study described patterns of use of biomarker testing for the management of breast, colorectal, and lung cancers among medical oncologists in the Philippines, where treatment is largely out-of-pocket. Methods: A cross-sectional survey was performed among practicing medical oncologists in the Philippines from November to December 2019. Responses were compiled and summarized using descriptive statistics. Results: A total of 127 responses (about 40% of medical oncologists in the country) were collected. Respondents were both consultants and fellows-in-training who, on the average, had been in oncology practice for 6.64 years (SD 7.37). Majority of respondents were affiliated with private hospitals and/or clinics (62.20%), but 40.94% of medical oncologists worked in academic medical centers. If clinically indicated and if cost did not play a role, 96% of respondents would order ER, PR and HER2neu testing for breast cancer. A quarter of respondents would include Ki-67 testing. In actual practice, 97% of the respondents reported ordering for ER/PR and 93% for HER2neu testing. For lung cancer, respondents would use EGFR (97.76%), PD-L1 (88.19%), ALK (80.31%), ROS1 (58.27%), and BRAF (33.07%). In actual practice, EGFR was the most frequently ordered biomarker (67.72%). 44.80% of medical oncologists had never used ROS1. For colorectal cancer, the respondents would use KRAS (98.43%), NRAS (81.89%), MMR/MSI (82.25%), and BRAF (63.78%), but these were only sometimes used. 59.84% of medical oncologists had never used BRAF. The strongest factor that drove medical oncologists to test for biomarkers was adherence to clinical practice guidelines (96%), with most respondents using international guidelines from the United States and Europe (61.4%). The largest barrier to biomarker use in the Philippines was financial constraints (94.5%), followed by the patients’ unwillingness to be tested (59.1%), and unavailability of tests in the areas of practice (58.27%). Conclusions: Medical oncologists in the Philippines would use biomarkers in the management of breast, colorectal, and lung cancers if these were clinically indicated and if cost did not play a role. Biomarker use was largely driven by American and European clinical practice guidelines. Financial difficulties by patients, who often had to resort to out-of-pocket payments for their treatment, formed the largest barrier to biomarker use.

Landslide monitoring with sensor networks: experiences and lessons learnt from a real-world deployment

2011 ◽  
Vol 10 (3) ◽  
pp. 111 ◽  
Author(s):  
Alberto Rosi ◽  
Matteo Berti ◽  
Nicola Bicocchi ◽  
Gabriella Castelli ◽  
Alessandro Corsini ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Real World ◽  
Landslide Monitoring ◽  
Lessons Learnt

scholarly journals A Physical and Numerical Based Model for Early Prediction of Landslides Using Wireless Sensor Network

2020 ◽  
Author(s):  
Khaled Rabie ◽  
Vinay Singh ◽  
Tariq Ansari ◽  
T N Singh
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Slope Failure ◽  
Vibration Sensor ◽  
Wireless Sensor ◽  
Initial Slope ◽  
Medium Size ◽  
Small Scale ◽  
Landslide Monitoring ◽  
Moisture Sensor

Landslides are a frequent and recurrent problem in hilly regions of India and predicting them is always a challenging task. In this paper, an attempt was made to deal with this problem using advanced physical and numerical modeling methods. Detailed understanding of the initial slope failures is very interesting, and challenging at the same time, in the design and development of wireless sensor network based on early warning of landslide monitoring. A small scale physical model was developed to assess the instability through a sensor network with variable rain fall intensity. This was achieved by increasing the simulated rain water flow intensity in different time spans (dry condition, at t=0 to t= 30 min, 0.5 mm/min at t=30 to t= 60 min, 0.75 mm/min at t=60 to t=91 min and 1 mm/min at t=91 to t= 120 min). The water level and movement in the slope was recorded by rainfall sensor, vibration sensor, soil moisture sensor and a digital camera. The following changes were observed during the slope failure: a) movement of small particles at top of the slope; b) initial failure of medium size soil particle; c) scouring of soil mass; d) whole slope collapse. The obtained results clearly indicated the superiority and effectiveness of the proposed system in providing a factor of safety for the progressive slope.

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