Extension of Secret Handshake Protocols with Multiple Groups in Monotone Condition

2010 ◽  
Vol E93-A (6) ◽  
pp. 1122-1131 ◽  
Author(s):  
Yutaka KAWAI ◽  
Shotaro TANNO ◽  
Takahiro KONDO ◽  
Kazuki YONEYAMA ◽  
Kazuo OHTA ◽  
...  
Keyword(s):  
Multiple Groups ◽  
Handshake Protocols

Extension of Secret Handshake Protocols with Multiple Groups in Monotone Condition

2009 ◽  
pp. 160-173
Author(s):  
Yutaka Kawai ◽  
Shotaro Tanno ◽  
Takahiro Kondo ◽  
Kazuki Yoneyama ◽  
Noboru Kunihiro ◽  
...  
Keyword(s):  
Multiple Groups ◽  
Handshake Protocols

How the State Education Agencies Addressed Gifted Education in the Title II Sections of Their ESSA State Plans

2018 ◽  
Vol 41 (3) ◽  
pp. 159-167 ◽  
Author(s):  
Corina R. Kaul ◽  
Brenda K. Davis
Keyword(s):  
Professional Development ◽  
Gifted And Talented ◽  
Gifted Education ◽  
Effective Instruction ◽  
Gifted Learners ◽  
State Education ◽  
Multiple Groups ◽  
State Plan ◽  
Every Student Succeeds Act ◽  
The U.S

In 2015, the U.S. Congress passed the Every Student Succeeds Act (ESSA) that included provisions to support gifted and talented learners. The U.S. Department of Education’s Consolidated State Plan template only required states to directly address the inclusion of gifted education under Title II, Part A: Supporting Effective Instruction (Section 2101(d)(2)(J)). We examined the inclusion of gifted education in the Title II section of all 52 submitted ESSA plans. Of the approved plans, 16 states explicitly addressed how educators would be supported in identifying and providing gifted learners with effective instruction, and 15 states generally described educator support to meet the needs of multiple groups of students (including gifted). Three of the approved state plans did not mention support for gifted education in their Title II responses. Gifted education stakeholders must be familiar with their state’s plan and understand how Title II can fund professional development for gifted education.

Authoritarianism and anonymity

2021 ◽  
Vol 49 (3) ◽  
pp. 19-27
Author(s):  
Michael Heron ◽  
Pauline Belford
Keyword(s):  
Computer Ethics ◽  
Teaching Tool ◽  
Academic Context ◽  
Modern Computer ◽  
Culture Of Fear ◽  
Multiple Groups ◽  
The University ◽  
Witch Hunts

The Scandal in Academia [32] [33] [34] [35] is an extended fictional case-study intended for use as a teaching and discussion aid for educational practitioners looking to introduce elements of computer ethics into their curricula. Inspired by Epstein [17] [18] it is a full-cycle scenario involving many individuals which touches upon the complexity and interrelations of modern computer ethics. It has been trailed and evaluated as a teaching tool by the authors [36] and with multiple groups since then. However its utility as a general resource is limited without the academic context that supports deeper investigation of the material. It is to address this issue that the authors offer this commentary on the Scandal, with a focus on the ninth and tenth newspaper items presented within. Specifically these are Culture of Fear and Nepotism at University and Witch-Hunts at the University - IT Crackdown Causes Criticisms.

A Novel K-Harmonic Means Clustering Based on Multiple Initial Centers

2013 ◽  
Vol 321-324 ◽  
pp. 1947-1950
Author(s):  
Lei Gu ◽  
Xian Ling Lu
Keyword(s):  
New Method ◽  
Final Solution ◽  
Data Set ◽  
Number Of Clusters ◽  
Multiple Groups ◽  
Harmonic Means

In the initialization of the traditional k-harmonic means clustering, the initial centers are generated randomly and its number is equal to the number of clusters. Although the k-harmonic means clustering is insensitive to the initial centers, this initialization method cannot improve clustering performance. In this paper, a novel k-harmonic means clustering based on multiple initial centers is proposed. The number of the initial centers is more than the number of clusters in this new method. The new method with multiple initial centers can divide the whole data set into multiple groups and combine these groups into the final solution. Experiments show that the presented algorithm can increase the better clustering accuracies than the traditional k-means and k-harmonic methods.

The rise and fall of cooperation in populations with multiple groups

2022 ◽  
Vol 413 ◽  
pp. 126624
Author(s):  
Xianjia Wang ◽  
Rui Ding ◽  
Jinhua Zhao ◽  
Cuiling Gu
Keyword(s):  
Multiple Groups
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