March 2021

See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/306896391State-of-the-art review of biocementation by microbially induced calciteprecipitation (MICP) for soil stabilizationArticle in Geomicrobiology · August 2016DOI: 10.1080/01490451.2016.1225866CITATIONS75READS6,4793 authors:Some of the authors of this publication are also working on these related projects:Soil biocementation using ureolytic bacteria View projectAdvenced modeling of ground improvement by prefabricated vertical […]

CRICOS Provider Code: 00586BTasmanian School of Business & Economics (TSBE) (School)College of Business and Economics (College)BMA547ORGANISATIONAL BEHAVIOUR12.50 Credit pointsSemester 1, 2021Unit OutlineUnit CoordinatorDr. James Mbiru© The University of Tasmania 2021CONTACT DETAILSUnit coordinator Unit coordinator and lecturer: James Mbiru Campus: Hobart Email: [email protected] Phone: Upon request Consultation hours: By appointment. Please arrange viaemail. AssignmentTutorOnline Page 3

University of Toronto at ScarboroughDepartment of Computer & Mathematical SciencesTerm Test – MATA22H – Linear Algebra I for Mathematical SciencesExaminers: Sophie ChrysostomouMohammad N. IvakiDate: Wednesday, February 28, 2018Duration: 110 minutesFAMILY NAME:GIVEN NAMES:STUDENT NUMBER:SIGNATURE:DO NOT OPEN THIS BOOKLET UNTIL INSTRUCTED TO DO SO.CIRCLE YOUR TUTORIAL:TUT0001HU YuxuanTU 16:00-18:00IC 220TUT0002AGRAWAL PankajFR 9:00- 11:00IC 302TUT0003HU YuxuanTH 17:00-19:00SW 128TUT0004ZHANG XinchengMO

Swinburne University of TechnologyFaculty of Science, Engineering and TechnologyInternet SecurityCOS80013Research AssignmentThis research assignment is worth 40% of the subject assessment.Due Date: Research project due Tuesday 16th March 2021 11:59 pm.Delays caused by computer downtime cannot be accepted as a valid reason for late submissionwithout penalty. Students must plan their work to allow for both scheduled

3809ICT/7809ICT – 2021 T1Workshop 2: Modern Symmetric CiphersLecturer: Qinyi Li Scribe: Qinyi LiQuestion 11. What is the difference between a block cipher and a stream cipher?2. What are the issues that make OTP impractical?3. What is a product cipher?4. What is the difference between diffusion and confusion?Question 2Consider a Feistel cipher composed of sixteen rounds

Writing Prompt: The Purpose of Punishment All societies have maintained the right to punish people who break their rules. But what is the purpose of punishment? What is it supposed to accomplish? Experts and laypeople alike often disagree. Over the years, theories have been advanced about different ways of handling wrongdoers. People advocating one approach

sustainability risks assessment in early stages of construction: Perspective of Environmental sustainability risks. 1.     Introduction: 1.1.                       Background and Rationale: Considering the complex nature of project and presences of risks, the risks management plays pivotal role in achieving project’s objectives (Wu and Zhou, 2019; Qazi et al., 2020). (Ahmad et al., 2019) Optimisation of performance measures

Soil Improvement using Microbial Induced Calcium Carbonate Precipitation (MICP) AssignmentTutorOnline Table of contents i. Engineering ethics ii. Plagiarism statement iii. Abstract Microbial induced calcium carbonate precipitation (MICP) Introduction Bacterial induced calcium carbonate precipitation (BICP) Fungal induced calcium carbonate precipitation (FICP)                    Soil improvement using conventional stabilisers (cement, lime and fly ash) Disadvantages of conventional soil stabilisers

Digital Marketing Item No. Title Value Due Date* Return Date** 1 Discussion Post:Digital and Social Media Audit 10% 08-Mar-2021 29-Mar-2021 2 Project Management and planning 10% 29-Mar-2021 21-Apr-2021 3 Buyer Persona, Journey Map and Market Analysis 35% 26-Apr-2021 18-May-2021 4 Digital Marketing Strategy and Tactics 45% 24-May-2021 16-Jun-2021 AssignmentTutorOnline * Due date is the last

The objective of this project is to investigate the images using Keras, TensorFlow, and Deep Learning techniques. You may resize data (i.e. into 128×128) as it would be more convenient. Use 80% of samples (positive and negative) for training and the remaining 20% for testing per category. AssignmentTutorOnline Question 1: Implement and select DCNN model