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Department of Information and Technology Solutions newsletter February 2021

, 2021
The Department of Information and Technology Solutions changed its name in December 2023 to the Department of Information Technology. In July 2019, the Department of Computing, Communications, and Information Technologies (CCIT) changed its name to the ...

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Membrane composition and thermodynamic identity as boundaries of life for synthetic cell research

FEBS Letters, EarlyView.
What makes a cell a cell? The boundary of a living cell is not just a wall. Read as a Markov blanket, the membrane separates internal from external states, generating identity and non‐equilibrium order. Can this identity be rebuilt from scratch in a synthetic cell?
Caterina Presutti, Bert Poolman
wiley   +1 more source

Time-dependent modeling of slow-slip events along the Nankai Trough subduction zone, Japan, within the 2018–2023 period

Earth, Planets and Space
According to a 2013 report by the Earthquake Research Committee of Japan, it was estimated that the probability of the occurrence of the next Nankai earthquake within the next three decades is 70–80%.
Shinzaburo Ozawa, Hiroshi Muneakane, Hisashi Suito   +2 more
doaj   +1 more source

Information dynamics in neuromorphic nanowire networks. [PDF]

Sci Rep, 2021
Zhu R, Hochstetter J, Loeffler A, Diaz-Alvarez A, Nakayama T, Lizier JT, Kuncic Z.   +6 more
europepmc   +1 more source

Generalized Thermodynamics in Complex Information Dynamics: Optimization Techniques and Applications to Mammalian Connectomes [PDF]

openNatural and artificial complex systems, composed of numerous interacting components like neurons in the brain or individuals in societies, exhibit intricate structures with varying degrees of complexity.
ROSHANA, MOJTABA
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Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

Molecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera, Laura Vela‐Martín, Pablo Fernández‐Navarro, José Luis López‐Lorenzo, Javier Cornago, Pilar Llamas, Eduardo Pérez‐Gómez, José Luis Marín‐Rubio, Manuel Fresno, Javier Santos, José Fernández‐Piqueras, María Villa‐Morales   +11 more
wiley   +1 more source

Information Dynamics of Electric Field Intensity before and during the COVID-19 Pandemic. [PDF]

Entropy (Basel), 2022
Mijatovic G, Kljajic D, Kasas-Lazetic K, Milutinov M, Stivala S, Busacca A, Cino AC, Stramaglia S, Faes L.   +8 more
europepmc   +1 more source

Other title: KCJIS Policy and Procedure Manual; Other title: Kansas Criminal Justice Information System Policy and Procedure Manual; Other title: Policy and Procedure Manual

, 2013
Version 5.2.; application/pdf; "12.9.2013."; "The Kansas Bureau of Investigation (KBI) and the Kansas Highway Patrol (KHP) share the administrative and operational responsibilities for core KCJIS functions."--Page [4 of 259].; Includes the "Criminal ...
Kansas Criminal Justice Information System.
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Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer

Molecular Oncology, EarlyView.
Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley   +1 more source

Unravelling single-cell DNA replication timing dynamics using machine learning reveals heterogeneity in cancer progression

Nature Communications
Genomic heterogeneity has largely been overlooked in single-cell replication timing (scRT) studies. Here, we develop MnM, an efficient machine learning-based tool that allows disentangling scRT profiles from heterogenous samples.
Joseph M. Josephides, Chun-Long Chen
doaj   +1 more source