Bahman, Nahed Alalaiwat, Dalal Abdulmohsen, Zainab Al Khalifa, Mohamed Al Baharna, Safeya Al-Mannai, Mariam Ahmed Younis, Adnan
Published in
Reviews on Environmental Health
Global CO2 emissions from different industries have been increasing at an alarming rate. This growth is outpacing the efforts, nations are putting in place to reduce their carbon footprints. In this topical review, we critically analyze the level of CO2 emissions on a global scale and across various industries and activities within them and the dom...
Kang, Xiancai Hua, Chuangli
Published in
Journal of Intelligent Systems
Image segmentation is one of the important tasks of computer vision and computer image processing, and the purpose of image segmentation is to achieve the extraction and recognition of the target image region. The classical Mumford–Shah (MSh) image segmentation model is used to achieve the segmentation of images. With the goal to get the best segme...
Devillers, Julianna Brun, Olivier Prabhu, Balakrishna
We explore data summarization techniques as a mean to reduce the energy footprint of Federated Learning (FL). We formulate the problem of selecting a small subset of data points that best represent the gradient of each local dataset as a submodular maximization problem and provide sufficient conditions under which the FL training is guaranteed to c...
Patel, Prisha Macdonald, Judith C. Boobalan, Jayanthi Marsden, Matthew Rizzi, Ruben Zenon, Marianne Ren, Jinma Chu, Haitao Cappelleri, Joseph C. Roychoudhury, Satrajit
...
Published in
Frontiers in Medicine
The appropriate use of regulatory agilities has the potential to accelerate regulatory review, utilize resources more efficiently and deliver medicines and vaccines more rapidly, all without compromising quality, safety and efficacy. This was clearly demonstrated during the COVID-19 pandemic where regulators and industry rapidly adapted to ensure c...
Morel, Marie Lemoine, Frédéric Gascuel, Olivier
Evolutionary convergences are observed at all levels, from phenotype to DNA and protein sequences, and the changes observed at these different levels tend to be strongly correlated. Here we propose a simulation-based method to detect positions under convergent evolution in large protein alignments, without prior knowledge on the phenotype and envir...
Fournel, Anda
Kobes, Tomáš
Published in
Semiotica
This text deals with convergence and divergence in relation to the formation of images of inhumanity in Slovak Roma settlements. Slovak media, social networks, and television reports often contain negative images emphasizing the Roma’s backwardness, irrationality, superstition, and cruelty, and aiming to highlight their inhumanity. This approach ha...
Oehler-Șincai, Iulia Monica
Published in
Comparative Southeast European Studies
This article identifies what is specific about Romania’s differentiated integration (DI) into European institutions. It outlines Romania’s expectations and priorities towards the European Union (EU) across three time periods: 1990–2000, 2001–2006 and 2007 onwards. Through this, it evaluates multiple perspectives on EU membership: DI; the developmen...
Mansur, Marcela Braga Greaves, Mel
Published in
BMC ecology and evolution
Cancer cell populations evolve by a stepwise process involving natural selection of the fittest variants within a tissue ecosystem context and as modified by therapy. Genomic scrutiny of patient samples reveals an extraordinary diversity of mutational profiles both between patients with similar cancers and within the cancer cell population of indiv...
Rafaqat, Kanza Naeem, Muhammad Akgül, Ali Hassan, Ahmed M. Abdullah, Farah Aini Ali, Umair
Published in
Frontiers in Physics
Non-local fractional derivatives are generally more effective in mimicking real-world phenomena and offer more precise representations of physical entities, such as the oscillation of earthquakes and the behavior of polymers. This study aims to solve the 2D fractional-order diffusion-wave equation using the Riemann–Liouville time-fractional derivat...