Journal of Accountancy

AI tools for finance professionals to prepare and visualize data

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...
eLife

Arousal modulates functional connectivity through structured and hemispherically asymmetric community architecture during wakefulness

Arousal fluctuates continuously during wakefulness, yet how these moment-to-moment variations shape large-scale functional connectivity (FC) remains unclear. Here, we combined 7T fMRI with concurrent ...
GitHub

lastmile-ai/mcp-agent

mcp-agent's vision is that MCP is all you need to build agents, and that simple patterns are more robust than complex architectures for shipping high-quality agents.
eLife

A proteome-wide biochemical screen defines binding determinants of the core autophagy protein LC3B

Human MAP1LC3B (LC3B) binds proteins involved in autophagy and other cellular processes using a degenerate four-residue short linear motif known as the LC3-interacting region (LIR). Biochemical and ...
Unite.AI

Easy Rewording Breaks AI Safety, Even for Gemini and Claude

AI safety tests found to rely on 'obvious' trigger words; with easy rephrasing, models labeled 'reasonably safe' suddenly fail, with attacks succeeding up to 98% of the time. New corporate research ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
IEEE

Mining social media data based on Python web crawler technology --Taking Sina Weibo data analysis as an example

Abstract: In the context of the big data era, the extensive penetration of the Internet and the rapid development of database technology have led to an explosive growth in the amount of data generated ...
GitHub

NodeSentry: Effective Node-Level Anomaly Detection in HPC Systems via Coarse-Grained Clustering and Fine-Grained Model Sharing

The framework encompasses two principal phases: the offline model training phase and the online anomaly detection phase. During the offline model training phase, we first preprocess the raw MTS. We ...
Edutopia

Making Use of a Worked Example to Improve Learning

It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...
IEEE

Twin Reciprocal Completion for Incomplete Multi-View Clustering

Abstract: Incomplete multi-view clustering is an important and challenging task, which has attracted significant attention in recent years. The key objective of incomplete multi-view clustering is to ...