4 research outputs found
Author Commitment and Social Power: Automatic Belief Tagging to Infer the Social Context of Interactions
No full text
Public health preparedness, syndromic surveillance, and response during the largest religious gathering at the Catholic pilgrimage center of Velankanni in South India: 2016
No full textBackground:
The dynamicity and mobility of the population in a mass gathering setting pose a challenge to traditional disease surveillance methods and strain the local health services. Velankanni is one of the most sacred Christian pilgrimage places located in Nagapattinam, Tamil Nadu, India. We participated in the Velankanni festival to describe the public health preparedness, surveillance, and response activities carried out during the festival.
Methods:
This was a cross-sectional study. We reviewed the national and international guidelines and published literature and discussed with the key stakeholders. We developed a checklist to observe public health preparedness activities. We facilitated the staff and monitored the activities by the implementers. We established the syndromic surveillance in the designated locations of the event and used tracker software to capture the data. Emergency medical teams were formed with trained health personnel to respond to medical emergencies.
Results:
The team monitored all the public health activities. There are 59 primary care public health facilities and nine ambulatory Mobile Medical Units, with 160 medical officers available at the site. Of the 16,169 persons who attended the medical camps, 9863 (61%) were males and 8408 (52%) were aged 15–44. Acute diarrheal disease was the most frequent of the reported syndromes, followed by injuries, acute febrile illness, and animal bites.
Conclusions:
There was no outbreak of any disease either identified or reported. Our findings suggest that risk assessments should be used, and establishing an Incident Command Center is vital for executing command and control mechanisms during mass gatherings
Investigation on topology-optimized compressor piston by metal additive manufacturing technique: Analytical and numeric computational modeling using finite element analysis in ANSYS
No full textAir compressors are widely used in factories to power automation systems and store energy. Several studies have been conducted on the performance of reciprocating and screw compressors. Advancements in design and manufacturing techniques, such as generative design and topology optimization, are leading to improved performance and turbomachinery growth. This work presents a methodology to design and manufacture air compressor pistons using topology optimization and metal additive manufacturing. The existing piston is converted to 3D CAD data and topology optimization is conducted to reduce material in stress concentration regions. Thermal and mechanical loads are considered in boundary conditions. The results show reduced material and improved efficiency, which is validated using ANSYS fluent. The optimized 3D model of the piston is too complex for conventional subtractive manufacturing, so laser sintering 3D printing is proposed. Honeycomb pattern infill patterns are used in 3D printing. This investigation is a step toward researching similar methods in other reciprocating compressor components such as cylinder, cylinder head, piston pins, crankshaft, and connecting rods, which will ultimately lead to improved compressor efficiency. © 2023 the author(s), published by De Gruyter.Khon Kaen University, KKU: R.G.P.1/349/43; Deanship of Scientific Research, King Khalid UniversityFunding information: This research was funded by the Deanship of Scientific Research at King Khalid University (KKU) through the Research Group Program Under the Grant Number: (R.G.P.1/349/43).The authors extend their appreciation to the Deanship of Scientific Research at King Khalid University (KKU) for funding this research through the Research Group Program Under the Grant Number: (R.G.P.1/349/43)
