National Guidelines for Rabies Prophylaxis in IndiaDhruvendra Pandey
This is the recent guidelines of Govt. of India for pre and post exposure prophylaxis against rabies infection. This presentation gives brief knowledge about intramuscular and intradermal administration of vaccine.
National Guidelines for Rabies Prophylaxis in IndiaDhruvendra Pandey
This is the recent guidelines of Govt. of India for pre and post exposure prophylaxis against rabies infection. This presentation gives brief knowledge about intramuscular and intradermal administration of vaccine.
RABIES-A fatal but preventable viral disease is explained in detail (with exclusive pictures) in this PowerPoint presentation.
It also includes the "updates on prevention and control strategy" and "Zero by 2030-Rabies Elimination Strategy"
This was presented at seminar hall, Department of Community Medicine, IMS, Banaras Hindu University as a part of PG seminar.
(The video by Lancet included in this may not be played in this slideshare platform...one can access youtube for the same)
Rabies presentation for medical undergraduate students Khan Amir Maroof
for MBBS phase II students
29th July 2021
with videos and pictures
For educational use only and NOT FOR PROFIT
www.consortiumagainstrabies.com
Credit: Dr Anurag Agarwal (Gen Secretary, Consortium Against Rabies)
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
RABIES-A fatal but preventable viral disease is explained in detail (with exclusive pictures) in this PowerPoint presentation.
It also includes the "updates on prevention and control strategy" and "Zero by 2030-Rabies Elimination Strategy"
This was presented at seminar hall, Department of Community Medicine, IMS, Banaras Hindu University as a part of PG seminar.
(The video by Lancet included in this may not be played in this slideshare platform...one can access youtube for the same)
Rabies presentation for medical undergraduate students Khan Amir Maroof
for MBBS phase II students
29th July 2021
with videos and pictures
For educational use only and NOT FOR PROFIT
www.consortiumagainstrabies.com
Credit: Dr Anurag Agarwal (Gen Secretary, Consortium Against Rabies)
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
1. Protocol for Rabies Post Exposure Prophylaxis after Animal Bite Decision to Treat
CATEGORY I
• Touching or feeding of animals
• Licks on intact skin
CATEGORY III
• Single or multiple transdermal bites or scratches
• Licks on broken skin
• Contamination of mucus membrane with saliva
CATEGORY II
• Nibbling of uncovered skin
• Minor scratches or abrasions
without bleeding
No prophylaxis needed (if reliable
contact history available) Previously immunized (if in doubt
,treat as not immunized)
Previously not
immunized Previously not Immunised
• Wash the exposed area with running water &soap up to 15
minutes and apply antiseptic
• Vaccinate
• Immune-competent person*
Give 04 doses ID(0.1 ml,2 sites) on Day 0,3,7, and 28
Or
Give 05 Doses IM (1 vial 1 site) on day 0,3,7,14 and 28
• RIG not indicated
• Immune-compromised person:
• Give 05 doses IM (1 vial 1 site) on Day 0,3,7,28.
• Infiltrate wound(s) with RIG as soon as possible.
Wash exposed area with running water & soap up to 15 min and apply Antiseptic
Vaccinate
Immune-competent person *
Give 02 Doses ID (0.1 ml,1 site) on Day 0 & 3
Or
Give 02 doses IM (1 vial , 1 site ) on Day 0&3
RIG not indicated .
Immune compromised person:
Give 02 doses IM (1vial,1 site) on day 0&3
RiG not indicated
Rabies immunoglobulin (RIG) dosage :
The maximum dose if RIG is 20 IU/kg of body weight , while that of
if further exposure in the future ,treat as previously
immunized and follow algorithm as above.
Wash exposed area with running water and soap up to 15 min and apply antiseptic
Vaccinate and infiltrate RIG
Immune competent person:
Give 04 doses ID (0.1 ml,2 sites) on Day 0,3,7,28
Or
Give 05 doses IM (1 vial,1 site on day 0,3,14,28.
Infiltrate wound(s) with RIG as soon as possible
Do not give RIG beyond the 7 th day after the 1st dose of vaccine dose on day 0