Thriving Arts: Thriving Small Communities

Presents findings from a study of ten rural Minnesota communities to identify factors related to successful community arts development. Includes recommendations to inform future investment in the arts

B Cell Adaptor Containing Src Homology 2 Domain (Bash) Links B Cell Receptor Signaling to the Activation of Hematopoietic Progenitor Kinase 1

The B cell adaptor containing src homology 2 domain (BASH; also termed BLNK or SLP-65), is crucial for B cell antigen receptor (BCR)-mediated activation, proliferation, and differentiation of B cells. BCR-mediated tyrosine-phosphorylation of BASH creates binding sites for signaling effectors such as phospholipase Cγ (PLCγ)2 and Vav, while the function of its COOH-terminal src homology 2 domain is unknown. We have now identified hematopoietic progenitor kinase (HPK)1, a STE20-related serine/threonine kinase, as a protein that inducibly interacts with the BASH SH2 domain. BCR ligation induced rapid tyrosine-phosphorylation of HPK1 mainly by Syk and Lyn, resulting in its association with BASH and catalytic activation. BCR-mediated activation of HPK1 was impaired in Syk- or BASH-deficient B cells. The functional SH2 domain of BASH and Tyr-379 within HPK1 which we identified as a Syk-phosphorylation site were both necessary for interaction of both proteins and efficient HPK1 activation after BCR stimulation. Furthermore, HPK1 augmented, whereas its kinase-dead mutant inhibited IκB kinase β (IKKβ) activation by BCR engagement. These results reveal a novel BCR signaling pathway leading to the activation of HPK1 and subsequently IKKβ, in which BASH recruits tyrosine-phosphorylated HPK1 into the BCR signaling complex

ABash: Finding Bugs in Bash Scripts

This paper describes the design and implementation of ABash, a tool for statically analyzing programs written in the bash scripting language. Although it makes no formal guarantees against missed errors or spurious warnings (largely due to the highly dynamic nature of bash scripts), ABash is useful for detecting certain common program errors that may lead to security vulnerabilities. In experiments with 49 bash scripts taken from popular Internet repositories, ABash was able to identify 20 of them as containing bugs of varying severity while yielding only a reasonable number of spurious warnings on both these scripts and the generally bug-free initialization scripts of the Ubuntu Linux distribution. ABash works by performing abstract interpretation of a bash script via an abstract semantics that accounts for shell variable expansion. The analysis is also parameterized by a collection of signatures that describe external program interfaces (for Unix commands, etc.), yielding an easily configurable and extensible framework for finding bugs in bash scripts

Написання сценаріїв у операційній системі Linux, як засіб формування компетентностей у галузі алгоритмізації та програмування майбутніх вчителів інформатики

The paper is devoted to the problem of development of students’ algoritmical and programming competences at the pedagogical universities via writing bash-scripts in operating system Linux. Article describes the methods of bash-scripting teaching and learning and examples of professional-oriented tasks

Bash Cookbook

The key to mastering any Unix system, especially Linux and Mac OS X, is a thorough knowledge of shell scripting. Scripting is a way to harness and customize the power of any Unix system, and it's an essential skill for any Unix users, including system administrators and professional OS X developers. But beneath this simple promise lies a treacherous ocean of variations in Unix commands and standards.bash Cookbook teaches shell scripting the way Unix masters practice the craft. It presents a variety of recipes and tricks for all levels of shell programmers so that anyone can become a proficien

NL2CMD: An Updated Workflow for Natural Language to Bash Commands Translation

Translating natural language into Bash Commands is an emerging research field that has gained attention in recent years. Most efforts have focused on producing more accurate translation models. To the best of our knowledge, only two datasets are available, with one based on the other. Both datasets involve scraping through known data sources (through platforms like stack overflow, crowdsourcing, etc.) and hiring experts to validate and correct either the English text or Bash Commands. This paper provides two contributions to research on synthesizing Bash Commands from scratch. First, we describe a state-of-the-art translation model used to generate Bash Commands from the corresponding English text. Second, we introduce a new NL2CMD dataset that is automatically generated, involves minimal human intervention, and is over six times larger than prior datasets. Since the generation pipeline does not rely on existing Bash Commands, the distribution and types of commands can be custom adjusted. Our empirical results show how the scale and diversity of our dataset can offer unique opportunities for semantic parsing researchers