Node persistence from topological data analysis reveals changes in brain functional connectivity [0.03%]
基于拓扑数据分析的节点持久性揭示大脑功能连接变化
Madhumita Mondal,Yasharth Yadav,Jürgen Jost et al.
Madhumita Mondal et al.
Large-scale analyses of brain functional connectivity can uncover disruptions in regional activity and connectivity that are commonly associated with neurological disorders or cognitive decline associated with healthy aging. In our study, w...
Georgia Channing,Avijit Ghosh
Georgia Channing
AI is being increasingly applied to scientific research, but its benefits remain unevenly distributed across different communities and disciplines. While technical challenges such as limited data, fragmented standards, and unequal access to...
Lizhen Zhu,Chaewan Chun,Kathryn Brown et al.
Lizhen Zhu et al.
We introduce streamline-based visualizations that manifest the detailed directional structures of painted surfaces by integrating local gradient information into continuous flow representations. Using Impressionist paintings as a primary ca...
Navigating the manifold: A transformative approach to AI image generation [0.03%]
穿越流形：生成对抗网络中的一种变革性方法
Alec D MacCall
Alec D MacCall
Using an external starting image and sparse action prompts, Transformative AI treats image generation as iterative navigation through an irregular, high-dimensional manifold. This user-guided process preserves expressive development and exp...
Unveiling gender disparities in corporate board career paths using deep learning [0.03%]
使用深度学习揭示公司董事会职业路径中的性别差异
Yuhao Zhou,Wenhao Chen,María Óskarsdóttir et al.
Yuhao Zhou et al.
In this study, we investigate the relationship between professional networks and gender disparities in corporate board appointments, focusing on publicly traded Canadian companies. Using data from over 19,000 senior managers and board membe...
Akshat Dubey,Aleksandar Anžel,Bahar İlgen et al.
Akshat Dubey et al.
Explainable artificial intelligence (XAI) techniques, particularly Shapley additive explanations (SHAP), are essential for interpreting ensemble tree-based models in critical areas such as healthcare. However, SHAP values are often treated ...
Intentional policy graphs: A pipeline for explaining agent behavior through intentions [0.03%]
基于意图的策略图：通过意图解释智能体行为的框架
Victor Gimenez-Abalos,Sergio Alvarez-Napagao,Adrian Tormos et al.
Victor Gimenez-Abalos et al.
Agents increasingly operate in complex environments, where coherent behavior often emerges from opaque decision-making processes. While such systems can be highly effective, this lack of transparency limits trust, auditing, and meaningful h...
Experimental and machine learning-based exploration of repurposed drugs reveals chemical features underlying phospholipidosis [0.03%]
实验和机器学习方法寻找可再利用药物发现磷脂osis的化学特征
Maria Kuzikov,Adelinn Kalman,Reagon Karki et al.
Maria Kuzikov et al.
Phospholipidosis (PLD) is a cellular adverse effect caused by, among other things, cationic amphiphilic drugs. There is interest within pharma discovery to predict this phenomenon, as it can impact the outcome of phenotypic cellular screens...
Breaking the glass ceiling: An interview with Yuhao (Jet) Zhou, María Óskarsdóttir, and Cristián Bravo [0.03%]
冲破“玻璃天花板”——周煜豪（Jet）、 María Óskarsdóttir和Cristián Bravo访谈记
Yuhao Zhou,María Óskarsdóttir,Cristián Bravo
Yuhao Zhou
Despite years of attention to gender equality, women remain underrepresented on corporate boards. Zhou et al. explore how professional connections influence access to these positions and the reasons behind the underrepresentation.1 In this ...
TweetyBERT: Automated parsing of birdsong through self-supervised machine learning [0.03%]
基于自监督机器学习的鸣鸟歌声自动化解析-TweetyBERT
George Vengrovski,Miranda R Hulsey-Vincent,Melissa A Bemrose et al.
George Vengrovski et al.
Deep neural networks can be trained to parse animal vocalizations-serving to identify the units of communication and annotating sequences of vocalizations for subsequent statistical analysis. However, current methods rely on human-labeled d...