diff --git a/README.md b/README.md
index ca51be1..d732d6c 100644
--- a/README.md
+++ b/README.md
@@ -35,7 +35,7 @@ TurboPFor: Fastest Integer Compression
* Delta/Zigzag + improved gorilla style + (Differential) Finite Context Method FCM/DFCM floating point compression
* Using **TurboPFor**, unsurpassed compression and more than 5 GB/s throughput
* Point wise relative error bound **lossy** floating point compression
- * :new: (2019.11) **TurboFloat** novel efficient floating point compression using TurboPFor
+ * **TurboFloat** novel efficient floating point compression using TurboPFor
* **Time Series Compression**
* **Fastest Gorilla** 16/32/64 bits style compression (**zigzag of delta** + **RLE**).
* can compress times series to only 0.01%. Speed > 10 GB/s compression and > 13 GB/s decompress.
@@ -51,7 +51,7 @@ TurboPFor: Fastest Integer Compression

### Integer Compression Benchmark (single thread):
-- :new: Download [IcApp](https://sites.google.com/site/powturbo/downloads) a new benchmark for TurboPFor
+- Download [IcApp](https://sites.google.com/site/powturbo/downloads) a new benchmark for TurboPFor
for testing allmost all integer and floating point file types.
- Practical (No **PURE** cache) "integer compression" benchmark w/ **large** arrays.
- [Benchmark Intel CPU: Skylake i7-6700 3.4GHz gcc 9.2](https://github.com/powturbo/TurboPFor/issues/47)
@@ -472,7 +472,7 @@ Note: Some low level functions (like p4enc32) are limited to 128/256 (SSE/AVX2)
* :green_book:[SPDP is a compression/decompression algorithm for binary IEEE 754 32/64 bits floating-point data](http://cs.txstate.edu/~burtscher/research/SPDPcompressor/)
:green_book:[ SPDP - An Automatically Synthesized Lossless Compression Algorithm for Floating-Point Data](http://cs.txstate.edu/~mb92/papers/dcc18.pdf) + [DCC 2018](http://www.cs.brandeis.edu//~dcc/Programs/Program2018.pdf)
-Last update: 11 Nov 2021
+Last update: 13 Nov 2021
## APPENDIX: icbench Integer Compression Benchmark