Malicious PyPI packages give hackers control of Telegram bot servers

A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...
Frontiers

Leveraging topological noise for dynamic state change detection using persistent homology

Characterization and classification of dynamical states of a system using persistent homology (PH) is proving to be rather fruitful in recent years. The marked success of the approach lies in mapping ...
GitHub

scikit-tda/ripser.py

Ripser.py is a lean persistent homology package for Python. Building on the blazing fast C++ Ripser package as the core computational engine, Ripser.py provides an intuitive interface for computing ...
eLife

A default silencing mechanism restrains stress-induced genes in C. elegans

This valuable study identifies a novel regulator of stress-induced gene quiescence in C. elegans: the multi-Zinc-finger protein ZNF-236. The work provides evidence for an active mechanism that ...
eLife

A theory and recipe to construct general and biologically plausible integrating continuous attractor neural networks

Department of Brain and Cognitive Sciences & McGovern Institute, MIT, Cambridge, United States Integrative Computational Neuroscience Center and Yang-Tan Collective, MIT, Cambridge, United States ...
C&EN

Leveraging Persistent Homology Features for Accurate Defect Formation Energy Predictions via Graph Neural Networks

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. To evaluate the defect formation energies, first-principles ...
GitHub

HiDeF (Hierarchical community Decoding Framework)

HiDeF is a method for robustly resolving the hierarchical structures of networks based on multiscale community detection and the concepts of persistent homology. HiDeF is described in the following ...
PNAS

Multiparameter persistent homology landscapes identify immune cell spatial patterns in tumors

Quantifying and comparing complex spatial biological datasets is crucial for medical applications and remains an active area of research. As datasets become more heterogeneous and complicated, so must ...