Results 101 to 110 of about 10,989,460 (301)

Management of Enteropathy-Associated T-Cell Lymphoma: An Algorithmic Approach

open access: yesCase Reports in Oncology, 2009
Perforation of the small intestine is the most lethal complication following induction chemotherapy for enteropathy-associated T-cell lymphoma (EATL). We report a case of EATL with a near perforated jejunal ulcer, and suggest a novel approach towards its
Nitin Babel   +2 more
doaj   +1 more source

Algorithmic complexity of protein identification: combinatorics of weighted strings [PDF]

open access: yes, 2004
Cieliebak M, Erlebach T, Lipták Z, Stoye J, Welzl E. Algorithmic complexity of protein identification: combinatorics of weighted strings. Discrete Applied Mathematics.
Lipták, Zsuzsanna   +9 more
core   +1 more source

Polarization‐resolved femtosecond Vis/IR spectroscopy tailored for resolving weak signals in biological samples using minimal sample volume

open access: yesFEBS Open Bio, EarlyView.
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley   +1 more source

A Search Engine for Algorithmic Fairness Datasets [PDF]

open access: yes, 2023
Algorithmic equity is a key desideratum for systems embedded in a diverse society producing data with embedded patterns of discrimination. This data is leveraged in algorithmic fairness research with the aim of studying the root causes of undesirable ...
Piva A.   +4 more
core  

Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies

open access: yesFEBS Open Bio, EarlyView.
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli   +8 more
wiley   +1 more source

A guideline for understanding and measuring algorithmic governance in everyday life

open access: yesInternet Policy Review, 2019
Algorithmic governance affects individuals’ reality construction and consequently social order in societies. Vague concepts of algorithmic governance and the lack of comprehensive empirical insights into this kind of institutional steering by software ...
Michael Latzer, Noemi Festic
doaj   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

open access: yesFEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill   +4 more
wiley   +1 more source

Towards Just AI: Challenges and Solution Framework for Algorithmic Discrimination in Judicial System

open access: yesInternational Journal of Digital Law and Governance
With the rapid development of technologies like big data, artificial intelligence (herein after AI), and blockchain, society is ushering into a new era of digital civilization.
Dou Landuo, Dou Xiaodong
doaj   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

open access: yesFEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong   +3 more
wiley   +1 more source

Algorithmic Probability-Guided Machine Learning on Non-Differentiable Spaces

open access: yes, 2020
We show how complexity theory can be introduced in machine learning to help bring together apparently disparate areas of current research. We show that this model-driven approach may require less training data and can potentially be more generalizable as
Riedel, Jürgen   +5 more
core   +1 more source

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