Lewis & Clark College

Large Language Models (LLMs) have been used to aide student learning across a multitude of domains such as computer science, data science, and mathematics. While these chatbots show promise, they may not perform well when quality student data is unavailable. Hint generation for cybersecurity can be feasible with the technology we have today if we make the right simplifications. First, we need human-in-the-loop systems because the training data used to train general LLMs may not cover cybersecurity well. Second, using modular agents allows us to access dynamic data that are outside the training dataset and add specificity to the hints. In this paper, we leverage n8n, an agent deployment service, to establish the connections between our agents and Discord, the messaging system that our classroom uses to offer students a streamlined learning experience when working on interactive cybersecurity exercises. The system has undergone initial pilot testing, Hints provided were sufficient to propel students forward and make progress on their assigned work, in most cases.

Band-selective excitation short-transient (BEST) sequences are widely used for protein NMR experiments that start with amide proton magnetization, such as 1H-15N HSQC, 1H-15N TROSY, and multidimensional backbone assignment experiments, because the optimization of amide proton longitudinal relaxation afforded by the BEST methodology allows for much greater sensitivity when using short scan times. Here we show that the BEST methodology can be easily incorporated in sequences for measuring proton transverse relaxation rates (1H R2), which are typically used to determine paramagnetic relaxation enhancements (PREs). The resulting BEST-HSQC-PRE and BEST-TROSY-PRE experiments afford similar or better sensitivity for measuring PREs compared to previous methods, provide equally accurate measurements of transverse relaxation rates (and therefore PREs), and allow shorter scan times to be used.

Summary We study the relationship between pairs of consecutive sums of consecutive numbers and Pythagorean triples.

ABSTRACT This essay foregrounds two figures previously neglected in feminist modernist studies and modernist studies more generally: Rosika Schwimmer and Ignazio Silone. Their unpublished correspondence constitutes a poignant and significant episode in the rise of modernism. Schwimmer consulted extensively on Silone’s first novel, Fontamara, a global sensation in its time that has long since fallen into obscurity. She was one of the most conspicuous feminist activists of her day; he became one of the most famous literary anti-Fascists. The story of Schwimmer and Silone’s epistolary friendship offers a new perspective on global modernist networks—on intercultural and multilingual orbits, connections, influences, and intimacies. The politics of feminism and anti-Fascism converged in the emergence of a novel that told an untold story, that of oppressed, victimized workers laboring and trapped in a nightmarish world not unlike Kafka’s, in a state of paralysis not unlike that of Joyce’s Dubliners. The effort to translate and circulate this modernist novel brought the two correspondents together at the end of her career, and the beginning of his, creating its own dynamics of intimacy and influence. Their relationship represents a previously neglected chapter in the histories of both feminism and literary modernism.