In this study, we explore nucleation and the transition state ensemble of the ribosomal protein S6 using a Monte Carlo Go model in conjunction with restraints from experiment. The results are analyzed in the context of extensive experimental and ev...
Synthetic monopoles, which correspond to degeneracies of Hamiltonians, play a central role in understanding exotic topological phenomena. Dissipation-induced non-Herminicity (NH), extending the eigenspectra of Hamiltonians from the real to complex do...
Apr 28, 2017 · Several actions related to the data lifecycle, such as data discovery, do require an understanding of the data, technology, and information infrastructures that may result from â¦
Why Data Management Plans (DMPs) are required. The Belmont Forum and BiodivERsA support international transdisciplinary research with the goal of providing knowledge for understanding, â¦
In a given graph, a HIST is a spanning tree without $2$-valent vertices. Motivated by developing a better understanding of HIST-free graphs, i.e. graphs containing no HIST, in this article's first part we study HIST-critical graphs, i.e. HIST-free gr...
The significance and influence of US Supreme Court majority opinions derive in large part from opinions' roles as precedents for future opinions. A growing body of literature seeks to understand what drives the use of opinions as precedents through t...
The s tag is just an abbreviation of the qualifier-descriptor sarcasm; by convention, most people understand the whole expression without the need to spell it all out, just like a TL;DR or a PS etc.
assistant in a neurology lab to gain more understanding of the nervous system and became involved in deafferentation experiments with monkeys. An afferent
One of the emerging research trends in natural language understanding is machine reading comprehension (MRC) which is the task to find answers to human questions based on textual data. Existing Vietnamese datasets for MRC research concentrate solely...
The central idea of this paper is to gain a deeper understanding of song lyrics computationally. We focus on two aspects: style and biases of song lyrics. All prior works to understand these two aspects are limited to manual analysis of a small corpu...
Technical debt is often the result of Short Run decisions made during code development, which can lead to long-term maintenance costs and risks. Hence, evaluating the progression of a project and understanding related code quality aspects is essentia...
Software and systems traceability is essential for downstream tasks such as data-driven software analysis and intelligent tool development. However, despite the increasing attention to mining and understanding technical debt in software systems, spec...
As large language models (LLMs) such as ChatGPT, Copilot, Claude, and Gemini become integrated into software development workflows, developers increasingly leave traces of AI involvement in their code comments. Among these, some comments explicitly a...
The universal fractality of river networks is very well known, however understanding of the underlying mechanisms for them is still lacking in terms of stochastic processes. By introducing probability changing dynamically, we have described the fract...
Cannabis is the most common illicit drug, and understanding its demand is relevant to analyze the potential implications of its legalization. This paper proposes an endogenous three-part model taking into account incidental truncation and access rest...
I (28F) have 2 older brothers: Paul (30M) and Ben (33M). Ben is married to Ellie (32F) and Ellie is a lot. At her age she still does not understand boundaries, personal space/time or the difference b...
This question might be counterintuitive, since the definition of a “mech” is a robot controlled from the inside, but I haven’t seen a lot of media challenge this norm. I understand that this con...
Although social neuroscience is concerned with understanding how the brain interacts with its social environment, prevailing research in the field has primarily considered the human brain in isolation, deprived of its rich social context. Emerging wo...
This paper briefly presents several ways to understand the organization of a large social network (several hundreds of persons). We compare approaches coming from data mining for clustering the vertices of a graph (spectral clustering, self-organiz...
The article explores how miscommunication impacts relationships, highlighting the significance of clarity and understanding for fostering healthy connections.