Known unknowns matrix

Characterizing unknown unknowns - PM

  1. Once identified, an unknown unknown is converted to a known unknown and moved to the quadrant at the right top in this matrix. Converting unknown unknowns to known unknowns means reducing the number of unidentified uncertainties even though we don't know how many of them are still remaining unidentified
  2. We can break data down into a matrix of knowns and unknowns. There are known knowns, there are known unknowns, and there are unknown unknowns, but I would argue that there are unknown knowns as well. To further simplify this, we can represent this in terms that analytics professionals know well
  3. Puget Sound's known unknowns: The Grand Uncertainties Matrix by Jeff Rice Jeff Rice is managing editor at the Puget Sound Institute where he also oversees the Encyclopedia of Puget Sound , an online compendium and review of scientific literature focusing on the Salish Sea ecosystem
  4. The Knowns and Unknowns categorisation has been used since the Greek era and in many areas of knowledge. It is a powerful tool to surface what we know and don't know about a problem

Use the Blindspot matrix to discover your strengths and weaknesses and what unknown capabilities you have and what other things you are not aware of. Work on maximizing your strengths and be aware.. We also know there are known unknowns; that is to say we know there are some things we do not know. But there are also unknown unknowns—the ones we don't know we don't know. - Donald Rumsfeld. When we apply this matrix to project management we get the following 4 confidence levels: Known knowns Known-unknowns: These are classic risks or risks what you as a project manager or risk manager most likely see. These are also called as known risks - known risks but with an unknown amount of rework. Unknown-unknowns: These are unknown risks - the unknown risks with unknown or unforeseen work. In this case knowledge does not exist. Known Unknowns are assumptions that we haven't or can't validate. Most assumptions identified during project planning start in this category. They can be classified into three types: Assumptions that can become known knowns now if they are validate

Rumsfeld's statement brought much fame and public attention to the concepts of known knowns, known unknowns, and unknown unknowns, but national security and intelligence professionals have long used an analysis technique referred to as the Johari window The Known Unknown Framework The known unknown framework is a matrix that helps classify risks based on the knowledge that we have about them. This framework is unique in the sense that it acknowledges that there are some risks that we cannot find out about no matter how diligent we are

The canonical way to write a linear system is as A*x = b where A is a matrix, x is the vector to solve for, and b is also a vector. Writing your problem (in math) using matrices, the system is: You could also do xsol = A \ b. A point of caution: both linsolve and \ will solve the system in the least squares sense if the system is overdetermined. On every project there are things we know and things we don't know - Knowns and Unknowns. Organizing your thoughts around those concepts can be a constructive approach to understanding a project as shown in the matrix below: The Known Knowns you handle via the plan, but what about those various flavors of Unknowns The Rumsfeldian Knowledge Matrix In Uncategorized on April 15, 2014 at 8:45 am The other night at the CSFG novel-writing group, El Presidente David Dufty led a discussion on making use of Campbellian and Jungian character archetypes and other advice on character from various literary greats

This video will show how to find unknown matrix values It was US Defence Secretary Donald Rumsfeld who most famously opined about known knowns, known unknowns and unknown unknowns. It was 2002 and the US was on the brink of the war on Iraq. Rumsfeld was musing about the lack of evidence linking the government of Iraq to the supply of weapons of mass destruction to terrorist groups and three unknowns. Matrix Elimination is one of many techniques that can be used to solve systems of linear equations. Matrix Elimination is also known as Gaussian Elimination named after Carl Friedrich Gauss. Matrix Elimination involves a series of steps that transforms an augmented matrix into what is known as row echelon form Donald Rumsfeld didn't originate the concept of known unknowns but he brought the matrix (the Johari window to psychologists) into popular awareness. And for that he will be. known unknown risk matrix July 1, 2021 12:32 am Published by . We know Impact factors from VL to VH as 0.5, 1, 2, 4 and 8, respectively. Customs at the first point of EU entry has the legal obligation to carry out the security and safety risk analysis on all the cargo regardless of the EU country of destination.

Let's see what Donald has to say about 'conscious competence and the learning matrix'. Here's what Donald said: There are known knowns. These are things we know that we know. There are known unknowns. That is to say, there are things that we know we don't know. But there are also unknown unknowns The known unknowns are risks that have been identified in the risk analysis, e.g: The solvency of our contractor is mediocre. He may become insolvent because of the current recession. For these known uncertainties, which can have negative or positive effects on the project, you should take actions if reasonable This is the realm of known unknowns. While leaders in a simple context must sense, categorize, and respond to a situation, those in a complicated context must sense, analyze , and respond F ormer US Secretary Defense Donald Rumsfeld made semantic history on 12 February 2002 when he gave the profoundly perplexing explanation about known knowns, known unknowns and unknown unknowns in Iraq. I tend to agree with him that this is a useful conceptual framework for analyzing complex problems. NASA has actually been using it in planning space missions and preparing to.

Known Unknowns These are risks that have not been accurately measured by a risk management system but are expected to be there. These arise due to expected imperfections in the risk measurement model like assumptions about distributions of rates not perfect or factors like leaving some parameters out of equations due to the complexity of the. Orbits of Known and Unknown Objects Carg The future we face demands that we understand how to handle and solve the known unknowns. Yet I know it is a responsibility our founders would have welcomed—and it is one that we will welcome together. There is so much more we can and must do However, much remains unknown, especially in plants. For example, there are now a number of known unknowns resulting from a previously unknown unknown: the existence of proteins dually targeted to both plastids and mitochondria (Peeters and Small, 2001; Ma and Taylor, 2002; Whelan and Glaser, 2007)

Known knowns in this process include algorithms that extract individual genome sequences from a 4 x 2 x 17,000 matrix [4]. Known unknowns will compare gene patterns along the 17,000 element genome vector within and among species, based on external algorithms applied to exported data [5]. Unknown unknowns include creation o About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Press Copyright Contact us Creators. Responsibilities Matrix Risk Analysis Table: Can you really plan for the unknown unknowns? Maybe not in detail, but you can at least list the known risks, potential issues, dependencies and their impact on your project outcome. Adding a 10%-20% of your budget as contingency could cover your unknown unknowns Q is a 4X4 unknown matrix B is a 4X2 known matrix C is a 2X2 known matrix How can I solve for unknown matrix Q; This problem can be treated as a succession of two under determined problems that can be solved for least norm solutions. If you let Z = QB, the result is AZ=C, which can be solved as a mininum norm problem using QR factorization [SOLVED] Finding unknown matrix a, when aB=C Homework Statement I know that aB=C, and want to find the matrix a. B and C are known 2x1 matrices. a is an unknown symmetrical 2x2 matrix. This seams like something fairly simple. --> Can someone point me in the right direction..

I am trying solving the equation, s m' = A[R|t]M'. i.e. m = K . T . M where m, K, M and last column of T [ R | t ] are known.. I want to obtain the values for each element of the 3*3 rotation matrix. I have. This question was also answered here. But I could not understand how to get values for 3*3 rotation matrix after making the new set of equations each time, when we take new values for m and M Question Video: Finding the Unknown Elements of a Matrix given Its Rank Mathematics If the matrix = (6, −9, 1 and , 24, 4 and 15, 18, −11) has rank 2, what is the value of ? 04:09. Video Transcript. If the matrix has rank two, what is the value of ?. The three categories (known; known-unknown and knowable unknowns) applied to risks identified in the four classifications discussed in the previous blog, provides a 12 segment matrix. Completing this step is a structured process to identify the scope of work (SOW) required to establish the Supply Chain Risk Management Plan No. Symbolic Toolbox (or equivalent) is the only way to express unknowns. Or is your question that you have 10 known values and you want to place them in an array? Sign in to comment

Rumsfeld's Known Unknowns is a concept made popular by former Secretary of Defense Donald Rumsfeld. It is part of a broader theory about the influence knowledge has on strategic thinking. It first came to the public's attention when Donald Rumsfeld used it during a Department of Defense news briefing on February 12, 2002, to answer a. Stiffness matrix method. The joint displacements are treated as basic unknowns. The number of displacements involved is equal to the no of degrees of freedom of the structure. The method is the generalization of the slope deflection method. The same procedure is used for both determinate and indeterminate structures

We also know there are known unknowns; that is to say, we know there are some things we do not know. But there are also unknown unknowns — the ones we don't know we don't know. — 2002, Donald Rumsfeld. From this came The Rumsfeld Matrix. Product developers and their managers have always had trouble dealing with uncertainty 2 CEE 421L. Matrix Structural Analysis - Duke University - Fall 2012 - H.P. Gavin are known and the vectors h d 1, d 2 ···, d n i and h r n+1, ···, r 2N i are unknown. There are still 2N equations with 2N unknowns, and we need a way to separate these knowns and unknowns from one another Known unknowns. Knowing what you don't have is important so that you can embark on a journey to find it. You may have an estimation of ROI, but a true picture of ROI is one of the most common known unknowns for marketers. It requires linking campaign data with attribution data in a marketing intelligence platform like Singular

Do You Understand the Knowns and Unknowns in Your Data

Fell-Muir Lecture: Cartilage 2010 - The Known Unknowns. In cartilage research and matrix biology, the gaps can particularly be seen at interfaces between disciplines and where technology development has lagged behind and in the particular challenges of understanding how molecular properties can explain tissue macro properties The title of the movie, The Unknown Known, comes from Rumsfeld's most famous statement while serving as George W. Bush's secretary of defense: As we know, there are known knowns; there are things. Known unknowns are things that you know that you don't yet know. This can be quite useful because knowing that you don't know something is a starting point for research. Unknown things can also play into decision making as they represent uncertainties and risks.The following are hypothetical examples As we build on the concepts from Part 1, we have expanded the known knowns problem to the known unknowns in Part 2. The next part will address the case of unknown unknowns, bringing all the three pieces together. Several open questions around Bayesian model selection and model optimization will be addressed in future blogs. Acknowledgment

With the help of the matrix equation. In a matrix equation, the unknown is a matrix. This means that you will denote the unknown matrix as matrix X. A · X = B. To solve, check that the matrix is invertible, if it is, premultiply (multiply to the left) both sides by the matrix inverse of A WEBSITE: Orbits of Known and Unknown Objects: SFAI Histories / MATRIX 277. An exhibition in the form of a website, MATRIX 277 explores and honors the rich legacy of the San Francisco Art Institute on the occasion of its 150th anniversary, tracing connections among artworks, people, and places over the trajectory of the institution's history Let's understand this using a matrix. When you come across any business problem, in the simplest form, this problem would have a cause and a solution. The cause can be further bifurcated into Known Causes and Unknown Causes. Solutions can be further bifurcated into Simple Solutions and Complex Solutions There are known unknowns. That is to say, there are things that we know we don't know. But there are also unknown unknowns. There are things we don't know we don't know. - Donald Rumsfeld. Site. Home. Authors. Topics. Quote Of The Day. Top 100 Quotes. Professions. Birthdays. This quote is from the former U.S. Secretary of Defense Donald Henry Rumsfeld, who mentioned: unknown unknowns (Rumsfeld, 2002). Since then, people have started using quadrants of knowledge, i.e., known known, known unknown, unknown known, and unknown unknown, to understand and explain the nature of risk but also of leading to an opportunity

Puget Sound's known unknowns: The Grand Uncertainties Matri

Fortunately, there are many instruments available to help decision makers to envision the risks and act as if the unknown unknowns were, indeed, known. One of such tools is the risk matrix, and it. Orbits of Known and Unknown Objects SFAI Histories / MATRIX 277 September 30, 2020 bampfa.org Twitter / Facebook / Instagram. The UC Berkeley Art Museum and Pacific Film Archive is pleased to announce a partnership with the San Francisco Art Institute's Anne Bremer Memorial Library to present an online art exhibition that celebrates the rich history and continued vitality of San Francisco. History. Management trainer Martin M. Broadwell described the model as the four levels of teaching in February 1969. Paul R. Curtiss and Phillip W. Warren mentioned the model in their 1973 book The Dynamics of Life Skills Coaching. The model was used at Gordon Training International by its employee Noel Burch in the 1970s; there it was called the four stages for learning any new skill Limits on All Known (and Some Unknown) Approaches to Matrix Multiplication Josh Alman∗ and Virginia Vassilevska Williams† MIT CSAIL and EECS Cambridge, MA, USA {jalman, virgi}@mit.edu Abstract—We study the known techniques for design-ing Matrix Multiplication algorithms. The two main approaches are the Laser method of Strassen, and th Unknown-knowns (impact is unknown but existence is known, i.e., untapped knowledge), Unknown-unknowns (unfathomable uncertainty). Project managers try to maximize known knowns by detecting as many unknown knowns as possible, as early as possible. However, it is impossible to identify all risks in advance for many reasons (Hillson, 2005.

The knowns and unknowns framework for design thinking by

The element stiffness matrix for a truss element is given by. 11. Write the element stiffness matrix for a beam element. The element stiffness matrix for a beam element is given by . 12. Compare flexibility method and stiffness method. Flexibility matrix method · The redundant forces are treated as basic unknowns View credits, reviews, tracks and shop for the 2017 CD release of Known Unknowns on Discogs Orbits of Known and Unknown Objects: SFAI Histories / MATRIX 277. A virtue of Orbits of Known and Unknown Objects, an exhibition/archive dedicated to the 150-year history of the San Francisco Art Institute, is that there is no clear place to start. So, all things being equal, I clicked on the picture with the dog, directing me to Object 49 The recent release of the NIST Hybrid Search enabled the matching or classification of known-unknowns to similar compounds that differ by a single modification of chemical moiety. The NIST Hybrid Search has been demonstrated for the identification of illicit drug [ 8 ], tandem mass spectra of peptide [ 9 ], and recently for untargeted. Purpose: To distinguish among three primary categories of unknowns. Description: One useful way of thinking about different kinds of unknowns is illustrated in the matrix below, which highlights three kinds of unknowns: known unknowns, unknown knowns and unknown unknowns

The application of MS2 retention and drift time aligned known-unknown spectra and libraries affords detection, identification and FDR reduction of both unknowns and (expected) known analytes The conceptual use of multi-species matrix libraries for FDR estimation has been demonstrated The use of multi-species matrix known-unknown matrix In short, navigating the unknown-unknowns is a new category that has the potential of transforming how DevOps teams work — removing the pain of building thousands of dashboards that only really get you to mere known-knowns. Now you can fully interrogate the system no matter how many needles are there It is well known that matrix diagonalisation is a very computationally expensive process and as the matrix dimension, n, increases, the computation time goes up as a function of O (n3) (order n3). Diagonalising a matrix is essentially equivalent to the Gaussian elimination process that you have studied this semester. function [x,steps] = In THE UNKNOWN KNOWN, Academy Award-winning director Errol Morris (THE FOG OF WAR) offers a mesmerizing portrait of Donald Rumsfeld, one of the key architects of the Iraq War, and a larger-than-life character who provoked equal levels of fury and adulation from the American public Known knowns, known unknowns, unknown unknowns & Leadership Published on May 6, 2020 May 6, 2020 • 6 Likes • 2 Comment

Known knowns, known unknowns, unknown unknowns

Notes; Laird: This block [E33625-E33937] seems to have been set aside for 'private' (transcription) recordings. While details of only a few of these recordings are known, it appears that the majority (if not all) of the recordings in the block are various programs in the 'Plymouth World Tour' series where ,B: 1 xq is an unknown vector of regression parameters, X is a known qxpmatrix ofrankq _p, and E has apvariate normal distribution with mean vector zero and covariance matrix E = a2I. Since the simple structure ofthe covariance matrix maynot be valid for someproblems,extensions ofthe results ofthe classical modelto modelswhereX has a.

$\begingroup$ I still don't feel convinced after reading answers so far, though I appreciate your feedback. here's my thought to all of you-- I think an accurate description is: an unknown vector in the x, y space, instead of vector of unknowns What most commentaries omit is the unknown known (looking at the 3 statements as constructed from a 2 x 2 matrix of known and unknown). This has been interpreted as Rumsfeld trying to forget about Abu Ghraib. But it is also symptomatic of a general problem with thinking - there are things that we do not consider relevant to a problem, so we. Part I of a Blog Series on CQAs & CPPs. Above, Diagram of current and proposed definitions to govern bioprocess development planning, conceived as a cycle with amplifying feedbacks, not a linear process. As we know, there are known knowns; there are things we know we know. We also know there are known unknowns; that is to say we know there are some things we do not know known knowns known unknowns unknown knowns unknown unknowns Capitalization doesn't matter (for example, Known unKnowns is fine), unless you're doing a matrix of every character including the spaces, matrices are not OK. \$\endgroup\$ - AdmBorkBork Oct 17 '17 at 12:21. We define known unknowns as non-targeted species which are known in the chemical literature or mass spectrometry reference databases, but unknown to the investigator. The process is shown in the following simplified flowchart: This process is described in detail in the February 2013 copy of LCGC, MS-The Practical Art.

The Rumsfeld Matrix: A Model to Estimate Uncertainty in

It was definitely underexplained in its first iteration. Essentially, the system will be defined by a set of three known points (x1, y1, 1), (x2, y2, 1), (x3, y3, 1). There are 6 unknowns (a, b, c, i, x, y). I'm looking for a way to solve for these unknowns. $\endgroup$ - squest11 Jul 7 at 4:5 For An Unknown Matrix A Assuming That Vector X = ıs Known To Be An Eigenvector Of The Matrix With Eigenvalue λ-08-what Is The Product Ax? Hint Your Response Should Be A Vector And Use The Definition Of The Eigenvector). 6. Computer The Product Of The Matrices AB Where A 7.Calculate The Determinant Of Matrix A 8.You Know That Two Vectors, X. Adapting to Unknown Noise Distribution in Matrix Denoising Andrea Montanari Feng Ruany Jun Yanz October 5, 2018 Abstract We consider the problem of estimating an unknown matrix X 2Rm n, from observations Y = X+W where W is a noise matrix with independent and identically distributed entries, a

Knowns, Unknowns and Project Management

Risk Classification: Known-Knowns, Known-Unknowns, Unknown

This is the matrix form of the simultaneous equations. Here the unknown is the matrix X, since A and B are already known. A is called the matrix of coefficients. 2. Solving the simultaneous equations Given AX = B we can multiply both sides by the inverse of A, provided this exists, to give A−1AX = A−1B But A−1A = I, the identity matrix. Solution: Transform the coefficient matrix to the row echelon form:. Since , we have to consider two unknowns as leading unknowns and to assign parametric values to the other unknowns.Setting x 2 = c 1 and x 3 = c 2 we obtain the following homogeneous linear system:. Therefore, and. Thus, the given system has the following general solution:. In view of the matrix properties, the general. The transpose of a matrix is the matrix flipped around the main axis (the diagonal from top left to bottom right). The transpose of the cofactor matrix is: Dividing this matrix by the determinant yields the following equation. The unknowns can now be found by matrix multiplication and division by the original determinant, 26. a = 78 / 26 = An unknown to an investigator, in many cases, is often known in the chemical literature. We refer to these types of non-targeted species as known unknowns. The term originated in a much different context in a quote by Donald Rumsfeld. ChemSpider is a very valuable source of known substances

How to Use the Knowns and Unknowns Technique to Manage

Limits on All Known (and Some Unknown) Approaches to Matrix Multiplication Josh Alman Virginia Vassilevska Williamsy Abstract We study the known techniques for designing Matrix Multiplication algorithms. The two main approaches are the Laser method of Strassen, and the Group theoretic approach of Cohn and Umans We study the known techniques for designing Matrix Multiplication algorithms. The two main approaches are the Laser method of Strassen, and the Group theoretic approach of Cohn and Umans. We define a generalization based on zeroing outs which subsumes these two approaches, which we call the Solar method, and an even more general method based on monomial degenerations, which we call the.

Why we invested in Honeycomb’s Series A – NextWorld Insights

2 unknowns, 2 unknown calculator, simultaneous equations, cramer's rule, determinants, algebra. Two Unknown Calculator. Click here for a 3 unknown calculator. Click here for a 4 unknown calculator. Input must be in the form: aX + bY = c. EXAMPLE: With these equations:. Unknown unknowns - other knowns. Including unknown unknowns, four terms relate to the words 'known' or 'unknown.' Known knowns. This term refers to things that we are certain about, i.e., we know. For example, the US Pentagon knows how many American troops there are in the Middle East The unknown variable names are X1, X2, X3,..and X10, depending on if you have one equation, two equations, or three equations with one unknown, two unknown, or three unknown variables, respectively. Starting from left-upper corner, replace as many zeros, in the data-matrix with the coefficients of the unknown variables in the equations together.

There are known knowns - Wikipedi

the complete data matrix. Known-unknowns Species common components were identified based on precursor m/z, tr and CCS, as well as CID M/MS using a sample co-detection approach across a technical and biological replicates (n = 12 in total) from which 'known-unknown' libraries were constructed. Next, these libraries were using for screenin Adhesion to structural glycoproteins of the extracellular matrix is necessary for survival of the differentiated adherent cells in the cardiovascular system, including endothelial cells, smooth muscle cells, Anoikis in the cardiovascular system: known and unknown extracellular mediators Arterioscler Thromb Vasc Biol. 2003 Dec;23(12 ):2146. actually this was the matrix and s was unknown which I calculated by taking determinant=0, using solve command. and after that as all values in D1 are known. X is to be calculated . where X=[ 1 u v l l*u u^2 u*v l*u^2].' B=[0 0 0 0 0 0 0 0] D1 X1=B . First of all NV Stacked Memory Selectors: Forming the Known Unknowns (Part 2) In this second part of a five-part series contributor Ron Neale continues his analysis of selector technologies focusing the nature of the mystery of Forming and a number of the many unanswered questions. Thin film selectors, or memory matrix isolation devices, based on.

The Known-Unknown Classification of Ris

Materials consisted of 360 trivia statements collected from the Internet and referred to either unknown or known facts. For unknown facts, we created a true framing (e.g., The inhabitable part of the world is the ecumene ) and a matching false framing (e.g., The inhabitable part of the world is the toponym ) that referred to a plausible, but. View credits, reviews, tracks and shop for the 2017 Vinyl release of Known Unknowns on Discogs Identification Matrix Screen. The bacteria supported and their results for all of the tests supported are kept in a matrix, or table. You may display t he I dentification M atrix by selecting Identification Matrix from the View Menu.. The I dentification M atrix shows your assigned unknown with the results you have recorded for it in the first column same number, n, of equations as unknowns. The associated coefficient matrix A is square, of size n×n. The corresponding augmented matrix M = A |b then has size n×(n+1). The matrix operation that assumes the role of Linear System Operation #1 is: Elementary Row Operation #1: Add a scalar multiple of one row of the augmented matrix to another row

Solving unknowns of a matrix in Matlab - Stack Overflo

Concept: In the force method of analysis: The primary unknown forces in the members and compatibility equations are written for displacement and rotations (wh. Start Learning. Structural Analysis ≫ Methods of Structural Analysis. Question: Flexibility matrix method is also known as: Free Practice With Testbook Mock Tests. AE & JE Civil Engg. Power of a matrix. For the intents of this calculator, power of a matrix means to raise a given matrix to a given power. For example, when using the calculator, Power of 2 for a given matrix, A, means A 2.Exponents for matrices function in the same way as they normally do in math, except that matrix multiplication rules also apply, so only square matrices (matrices with an equal number of.

Things Known and Unknown - Project Management Articles

Matrix Algebra, also known as linear algebra, is well suited to solving material balance problems encountered in plant design and optimisation. A properly constructed matrix is not Reorganising, equations are eliminated and the known and unknown components are moved t We finally have gotten to know the known unknowns and realize that we can and will rapidly make these unknowns known. Author Contributions. R.A. Burne, contributed to conception, design, and data analysis and drafted the manuscript. The exopolysaccharide matrix: a virulence determinant of cariogenic biofilm. J Dent Res. 92 (12):1065-1073 donald rumsfeld Known knowns. MyC-SPAN users can download four Congressional hearings and proceedings under four hours for free each month Confounding factors on gene expression analysis can be analyzed by several existing tools. Here the authors develop an algorithm called MOCCASIN to correct the effect of known and unknown.

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Home Conferences CCS Proceedings WPES '15 Known Unknowns: An Analysis of Twitter Censorship in Turkey research-article Known Unknowns: An Analysis of Twitter Censorship in Turke The Capture of Angela Author Nina Zurier Decades 1970s 1980s Tags Activism Black Panthers Feminism Racial Justice On October 13, 1970,.. There are known unknowns; that is to say, there are things that we now know we don't know. But there are also unknown unknowns - there are things we do not know we don't know. I'd love to attribute this quote to someone else, but it was a statement made by former US Secretary of Defense, Donald Rumsfeld Fear of the unknown has never made sense to me because it's something I've never even had! I can only fear things that are known, my personal experience with anxiety and fear. I'm drawn to the unknown of space exploration, if I was afraid of it I wouldn't be pursuing it so adamantl