Quantitative profiling of BATF family proteins/JUNB/IRF hetero-trimers using Spec-seq

Additional file 6. Half site analysis for BATFx-JUNB-IRFx. (A) Single variants from half sites of these oligos in the library were used to generate energy logos. Bolded positions represent the half sites generated in B. (B) Energy logos from Spec-seq results of BATFx-JUNB-IRFx. The Y-axis is negative energy so the preferred sequence is on the top

KLoB: a Benchmark for Assessing Knowledge Locating Methods in Language Models

Recently, Locate-Then-Edit paradigm has emerged as one of the main approaches in changing factual knowledge stored in the Language models. However, there is a lack of research on whether present locating methods can pinpoint the exact parameters embedding the desired knowledge. Moreover, although many researchers have questioned the validity of locality hypothesis of factual knowledge, no method is provided to test the a hypothesis for more in-depth discussion and research. Therefore, we introduce KLoB, a benchmark examining three essential properties that a reliable knowledge locating method should satisfy. KLoB can serve as a benchmark for evaluating existing locating methods in language models, and can contributes a method to reassessing the validity of locality hypothesis of factual knowledge. Our is publicly available at \url{https://github.com/juyiming/KLoB}

Measuring quantitative effects of methylation on transcription factor-DNA binding affinity

We describe a new method for measuring the effects of epigenetic marks on protein-DNA interactions.</jats:p

The Formation of Social Influence in Online Recommendation Systems: A Study of User Reviews on Amazon.com

Thanks to Web 2.0, retail websites and online communities provide user reviews to help consumers make purchase decisions. Current IS and marketing literature reveal that user reviews can form strong social influence on consumers’ purchase decisions. However, few studies systematically examined how social influence is developed from user reviews. To bridge the gap, our research explores what factors impact the formation of social influence from user reviews. Based on a survey conducted in a controlled lab environment, the results suggest that review quality positively impacts informational influence while review consistency negatively impacts informational influence. Review consistency and social presence positively impact value-expressive influence. We also incorporate product expertise and self-monitoring as moderators into the model. Interestingly, product expertise weakens the relationship between social presence and informational influence. Self-monitoring does not impact value-expressive influence in online settings. Managerial implications are discussed