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    Unplugged to Plugged: An Introduction to Coding for Elementary School Children

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    This course introduced 4th and 5th graders to coding concepts like sequencing, loops, and decomposition through an unplugged-to-plugged learning sequence. Over four after-school learning sessions, students explored programming first through their bodies (i.e., unplugged), then in the block-based programming environment, Scratch (i.e., plugged). The goal was for learners to transition from concrete forms of programming to an abstract understanding needed for block-based programming. To achieve this goal, the plugged activities were intentionally designed around the concept of concreteness fading, where the unplugged programming challenge mirrored the plugged Scratch environment, allowing students to move from a concrete to more abstract understanding of computer science. The activities in the course drew from ready-to-use materials for computer science education (e.g., Code.org) as well as free, block-based coding websites (e.g., Scratch)

    Scratch Encore: Creating and Sustaining Culturally Responsive Computer Science Education

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    Scratch Encore (Canon Lab, n.d.) is a culturally relevant, student-centered, 14 module, computer science curriculum for 4th to 8th-grade learners that introduces foundational computing topics using the Scratch environment. It employs three key design goals: (a) supporting teachers, (b) supporting learners, and (c) using culturally responsive practices to address long standing inequities in computing. The curriculum offers equitable and effective learning experiences for students who have historically not had equal opportunities to fully participate in computing while providing a wide array of supports for educators who may be inexperienced with Scratch and/or programming. This article features a high-level overview of Scratch Encore and the first 6 modules in greater detail to help teachers understand the content and pacing of the curriculum

    ‘Sure why would they need Irish?’: Scoil an tSeachtar Laoch, Ballymun, and working-class decolonisation, c.1970-73

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    This article examines the struggle carried out by working-class Irish-language activists in Ballymun to found a gaelscoil (Irish-medium school) in the early 1970s. The article is based on archival research and interviews with two key participants involved in the campaign for Scoil an tSeachtar Laoch, Éilís Uí Langáin and Colm Ó Torna. The campaign to establish the school is viewed through the lenses of class and decolonisation. Firstly, the long-term socio-economic and political contexts to the campaign are outlined. Secondly, the social base and the pre-existing networks and ideology which allowed the campaign to develop are explored. Following this, the emergence of the campaign and its politics are examined. Finally, the lasting impact of the struggle for the school both locally and nationally is discussed. The conclusion reached is one that is of the utmost importance for Irish language, gaelscoil and decolonial activists, namely that it will be difficult to replicate the success of Ballymun again today in the neoliberal context because the material basis in terms of secure housing and a tight-knit urban community does not exist. At a time when there has been much talk in Irish revivalist circles about promoting Irish in Dublin with the launch of the Baile Átha Cliath le Gaeilge (Dublin For Irish) scheme, the history of Ballymun and Scoil an tSeachtar Laoch demonstrates how a secure home is the lynchpin on which real communal progress with regard the Irish language must be based. It is therefore necessary for those who wish to see the Irish language flourish in the city to learn the lessons of history and improve, first and foremost, the day-to-day lives of ordinary Dubliners by becoming active on the burning question of housing

    Godsil-McKay switchings for gain graphs

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    We introduce a switching operation, inspired by the Godsil-McKay switching, in order to obtain pairs of GG-cospectral gain graphs, that are gain graphs cospectral with respect to every representation of the gain group GG. For instance, for two signed graphs, this notion of cospectrality is equivalent to the cospectrality of their signed adjacency matrices together with the cospectrality of their underlying graphs. Moreover, we introduce another more flexible switching in order to obtain pairs of gain graphs cospectral with respect to some fixed unitary representation. Many existing notions of spectrum for graphs and gain graphs are indeed special cases of these spectra associated with particular representations, therefore our construction recovers the classical Godsil-McKay switching and the Godsil-McKay switching for signed and complex unit gain graphs. As in the classical case, not all gain graphs are suitable for these switchings: we analyze the relationships between the properties that make the graph suitable for the one or the other switching. Finally, we apply our construction in order to define a Godsil-McKay switching for the right spectrum of quaternion unit gain graphs

    Schur stability of matrix segment via bialternate product

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    In this study, the problem of robust Schur stability of n×nn\times n dimensional matrix segments by using the bialternate product of matrices is considered. It is shown that the problem can be reduced to the existence of negative eigenvalues of two of three specially constructed matrices and the existence of eigenvalues belonging to the interval [1,)[1,\infty) of the third matrix. A necessary and sufficient condition is given for the convex combinations of two stable matrices with rank one difference to be robust Schur stable. It is shown that the robust stability of the convex hull of a finite number of matrices, where the difference between any two matrices has a rank of 1, is equivalent to the robust stability of the segments formed by these matrices. Examples of applying the obtained results are given

    Construction of a solution to the rank 2 Horn problem

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    Given three sets of nn real eigenvalues satisfying the trace equality and the Horn inequalities, we know that there are n×nn\times n real symmetric matrices AA and BB so that AA has the first set of eigenvalues, BB has the second set of eigenvalues, and A+BA+B has the last set of eigenvalues. Under the condition that BB is a rank 2 matrix, we give a construction for the matrices AA and BB. This construction is based on performing two orthogonal rank 1 updates on AA. We end with a discussion of the relationship between this rank 2 Horn problem and the following similar problem: given a set of nn real eigenvalues, a set of 22 real eigenvalues, and a set of n+2n+2 real eigenvalues satisfying certain conditions, find an (n+2)×(n+2)(n+2)\times(n+2) real symmetric matrix such that the top left principal submatrix has the first set of eigenvalues, the bottom right principal submatrix has the second set of eigenvalues, and the full matrix has the last set of eigenvalues

    On solutions of matrix equation AX=B{AX=B} over a Bezout domain

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    Let Rm,n{\mathrm R_{m,n}} be the set of m×nm\times n matrices over a Bezout domain R\mathrm R with identity e0e\not= 0 and let 0m,k0_{m,k} be the zero m×km\times k matrix. Further, let di(A)Rd_i(A)\in \mathrm{R} be an ideal generated by the ii-th order minors of the matrix ARm,n,A\in \mathrm{R}_{m,n}, i=1,2,,min{m,n}.i = 1, 2, \dots, \min\{m, n\}. In this article, we investigate a structure of solutions of a matrix equation AX=BAX=B, where ARm,nA\in {\mathrm R}_{m,n} and BRm,kB \in {\mathrm R}_{m,k} are known matrices and XX is unknown matrix over R{\mathrm R}. It is known that matrix equation AX=BAX=B is solvable over a Bezout domain R\mathrm{R} if and only if rankA=rankAB=r {\rm rank } A = {\rm rank }A_B=r and di(A)=di(AB)d_i(A) = d_i(A_B) for all i=1,2,,r,i = 1, 2, \dots , r, where AB=[Aamp;B].A_B= \begin{bmatrix} A & B \end{bmatrix}. On the other hand, AX=BAX=B is solvable over R\mathrm{R} if and only if matrices [Aamp;0m,k]\begin{bmatrix} A & 0_{m,k} \end{bmatrix} and ABA_B are right-equivalent, that is, the Hermitian normal forms of these matrices coincide. In this article, we give alternative necessary and sufficient conditions for the solvability of equation AX=BAX=B over a Bezout domain R.\mathrm R . If a solution of this equation exists, we also give an algorithm for its construction. We prove also that the matrix equation AX=BAX=B over R\mathrm{R} has a symmetric solution if and only if AX=BAX=B has a solution over R\mathrm{R} and the matrix ABTAB^T is symmetric. If symmetric solution exists, we propose the method for its construction

    Semirings in which the permanent of invertible matrices is multiplicative

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    We show that, if 1+2xy=11+2xy=1 holds for all elements x,yx,\,y with additive inverses in a commutative semiring S\mathcal{S}, then the function of permanent is multiplicative on the matrices with multiplicative inverses over S\mathcal{S}

    GLT sequences and normal matrices

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    The theory of generalized locally Toeplitz (GLT) sequences is an apparatus for computing the asymptotic spectral distribution of matrices AnA_n arising from numerical discretizations of differential equations. Indeed, when the mesh fineness parameter nn tends to infinity, these matrices AnA_n give rise to a sequence {An}n\{A_n\}_n, which often turns out to be a GLT sequence. In this paper, we extend the theory of GLT sequences in several directions: we show that every GLT sequence enjoys a normal form, we identify the spectral symbol of every GLT sequence formed by normal matrices, and we prove that, for every GLT sequence {An}n\{A_n\}_n formed by normal matrices and every continuous function f:CCf:\mathbb C\to\mathbb C, the sequence {f(An)}n\{f(A_n)\}_n is again a GLT sequence whose spectral symbol is f(κ)f(\kappa), where κ\kappa is the spectral symbol of {An}n\{A_n\}_n. In addition, using the theory of GLT sequences, we prove a spectral distribution result for perturbed normal matrices

    On the products of commutators of real JJ-symmetries

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    Let J2n=[0amp;InInamp;0]J_{2n}=\begin{bmatrix} 0&I_n\\-I_n&0\end{bmatrix}. A 2nn-by-2nn complex matrix AA is said to be symplectic if ATJA=JA^TJA=J. If AA is symplectic and rank(AI)=1(A-I)=1, then AA is called a JJ-symmetry. It is known that every 2nn-by-2nn complex symplectic matrix can be written as a product of n+1n+1 commutators of JJ-symmetries. We consider the real case and study the properties of real JJ-symmetries and commutators of real JJ-symmetries. We prove that if AA is a 2n2n-by-2n2n real symplectic matrix, with rank(AI)=m\mathrm{rank}(A-I)=m, then AA is a product of 3m22m4\frac{3m}{2}-2\lfloor \frac{m}{4} \rfloor commutators of real JJ-symmetries if J(AI)J(A-I) is skew-symmetric, and AA is a product of 3m23 \lceil \frac{m}{2} \rceil commutators of real JJ-symmetries if J(AI)J(A-I) is not skew-symmetric

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