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Feud of Four Houses
10
10.0 (1 Ratings)
Book Rating
In Feud of Four Houses: Curse of The Fairy Kingdom by Chrishel Smith; Since the beginning of the Alaire and Dagen family lines there has been a Feud going on between the families struggling to gain one another's power the Goddess gifted them or so they thought. This all begins to change when Amara Alaire goes to her family library to do research on the family feud. There she finds a picture of her and her enemy, Tristan Dagen. But, it turns out not to be them and that there was a curse placed upon their house which started with the people in the photo. Throughout the book they go off and try to break the Curse overcoming obstacles on the way. Who are the people in the photo? And what does that have to do with them? And why was the curse placed upon their houses? To find this out you will have to read the book.

This book has a twist on fantasy and romance like none I have read before, and many unexpected plot twists. The book also starts off slow but starts to pick up a few chapters in. I honestly loved it. The book made me feel as though I was there with them feeling all their emotions and struggles. The ending was unexpected and very emotional.
  
Invisible Women: Data Bias in a World Designed for Men
Invisible Women: Data Bias in a World Designed for Men
Caroline Criado Perez | 2019 | Science & Mathematics
10
10.0 (1 Ratings)
Book Rating
I’ve read a book similar to this before so was interested when I saw it on the library shelf. This is about the gender data gap. I know what some of you are thinking “oh look a book that’s going to slam men”. But this isn’t about that. This is about missing data, not because it’s been done on purpose but because some of the tests have never thought about. Some of these absolutely shocked me though. For example, did you know the female crash test dummy hasn’t been put in the driver’s seat? How mad is that?!?!
At some points I did find this book a little one sided. I mean it’s hard when you’re trying to delve into a data gap bit one example that stood out to me was “unpaid work”. There was a big continuing theme about the unpaid work women do that isn’t thought of to include in data (child care, housework, elderly care) and yes men do these too (that was pointed out), but what about the unpaid work men do that I bet isn’t thought of to be included in data? Like DIY? I did enjoy listening to this (borrowed on #borrowbox ) but I found it did become tedious in places. Would recommend for some who enjoys data…..like myself.
  
    DENTSPLY ENDO IQ

    DENTSPLY ENDO IQ

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    X-SMART iQ – REDEFINING THE ENDO EXPERIENCE The DENTSPLY ENDO iQ App is designed to control the...