A deep learning-based framework for predicting survival-associated groups in colon cancer by integrating multi-omics and clinical data

S Salimy, H Lanjanian, K Abbasi, M Salimi, A Najafi… - Heliyon, 2023 - cell.com
Precise prognostic classification of patients and identifying survival subgroups and their
associated genes can be important clinical references when designing treatment strategies …

[HTML][HTML] Transforming smart homes via P2P energy trading using robust forecasting and scheduling framework

A Raza, L Jingzhao, M Adnan, MS Iqbal - Results in Engineering, 2024 - Elsevier
With the advent of smart grids, advanced information infrastructures, advanced metering
facilities, bidirectional exchange of information, and battery storage home area networks …

The dynamics of multidimensional food security in rural Ethiopia

M Adem, L Cochrane, A Miceikienė, R Skominas… - Global Food …, 2023 - Elsevier
The aim of this study was to create a composite food security index that takes into account
the four aspects of food security, which are availability, accessibility, usage, and stability …

Goal-based participatory weighting scheme: Balancing objectivity and subjectivity in the construction of composite indicators

AM Correa Machado, PI Ekel, MP Libório - Quality & Quantity, 2023 - Springer
The weighting of sub-indicators is a controversial topic in the literature, being the object of
investigation by many researchers. The absence of a clear definition for the most …

Measuring inequality through a non-compensatory approach

MP Libório, OS Martinuci, PI Ekel, RM Hadad, RM Lyrio… - GeoJournal, 2022 - Springer
The aggregation of variables is one of the most critical procedures in the building of
Composite Indicators. Most of the debate is about the issue of compensation between …

Constructing social vulnerability indexes with increased data and machine learning highlight the importance of wealth across global contexts

Y Zhao, R Paul, S Reid, C Coimbra Vieira… - Social Indicators …, 2024 - Springer
We consider the availability of new harmonized data sources and novel machine learning
methodologies in the construction of a social vulnerability index (SoVI), a multidimensional …

[HTML][HTML] Sustainable livelihood security in Odisha, India: A district level analysis

BS Pani, D Mishra - Regional Sustainability, 2022 - Elsevier
Sustainable livelihood security (SLS) is an integrating framework that encompasses current
concerns and policy requirements for ecological, social, and economic dimensions of …

Comparative lysine acetylome analysis of Y. pestis YfiQ/CobB mutants reveals that acetylation of SlyA Lys73 significantly promotes biofilm formation of Y. pestis

Y Tan, W Liu, Y Chen, Y Zhou, K Song… - Microbiology …, 2023 - Am Soc Microbiol
Increasing evidence shows that protein lysine acetylation is involved in almost every aspect
of cellular physiology in bacteria. Yersinia pestis is a flea-borne pathogen responsible for …

Representing multidimensional phenomena of geographic interest: benefit of the doubt or principal component analysis?

MP Libório, OS Martinuci, AMC Machado… - The Professional …, 2022 - Taylor & Francis
Composite indicators are one-dimensional measures of multidimensional phenomena.
Through the composite indicators, it is possible to have a single map of the different …

[HTML][HTML] A comprehensive remote sensing-based Agriculture Drought Condition Indicator (CADCI) using machine learning

KF Alkaraki, K Hazaymeh - Environmental Challenges, 2023 - Elsevier
Agriculture drought is a decrease in soil moisture during a growing season. In this study, a
comprehensive remote sensing-based Agriculture Drought Condition Indicator (CADCI) was …