Bernsteindamm9839

Any computer vision application development starts off by acquiring images and data, then preprocessing and pattern recognition steps to perform a task. When the acquired images are highly imbalanced and not adequate, the desired task may not be achievable. LDN212854 Unfortunately, the occurrence of imbalance problems in acquired image datasets in certain complex real-world problems such as anomaly detection, emotion recognition, medical image analysis, fraud detection, metallic surface defect detection, disaster prediction, etc., are inevitable. The performance of computer vision algorithms can significantly deteriorate when the training dataset is imbalanced. In recent years, Generative Adversarial Neural Networks (GANs) have gained immense attention by researchers across a variety of application domains due to their capability to model complex real-world image data. It is particularly important that GANs can not only be used to generate synthetic images, but also its fascinating adversarial learning idea showed goodr vision algorithms.

This paper aims to summarize the data of recently completed and key ongoing clinical trials of systemic agents for advanced hepatocellular carcinoma (aHCC). In particular, the review focuses on ongoing checkpoint inhibitor combination trials and promising studies combining tyrosine kinase inhibitors with checkpoint inhibitors.

The recently approved combination of atezolizumab and bevacizumab based on the IMbrave150 trial has shown the most potential with the highest overall survival of any systemic agent in HCC to date, surpassing sorafenib. Despite COVID-19 delays, other promising trials that involve combining VEGF-directed therapy and checkpoint inhibition, cancer vaccines, phosphatidylserine, YIV-906, and oncolytic and immunotherapeutic vaccinia virus are actively recruiting patients.

After almost a 10-year dormancy, the list of potential systemic treatment options for aHCC is growing rapidly. Given the promising data from the IMbrave150 trial, the combination of atezolizumab and bevacizumab is now the new first-line therapy. We discuss the change in landscape, the new second- and third-line systemic treatments in aHCC, and the ongoing clinical trials for newer agents including combination therapies.

After almost a 10-year dormancy, the list of potential systemic treatment options for aHCC is growing rapidly. Given the promising data from the IMbrave150 trial, the combination of atezolizumab and bevacizumab is now the new first-line therapy. We discuss the change in landscape, the new second- and third-line systemic treatments in aHCC, and the ongoing clinical trials for newer agents including combination therapies.Understanding attention dynamics on social media during pandemics could help governments minimize the effects. We focus on how COVID-19 has influenced the attention dynamics on the biggest Chinese microblogging website Sina Weibo during the first four months of the pandemic. We study the real-time Hot Search List (HSL), which provides the ranking of the most popular 50 hashtags based on the amount of Sina Weibo searches. We show how the specific events, measures and developments during the epidemic affected the emergence of different kinds of hashtags and the ranking on the HSL. A significant increase of COVID-19 related hashtags started to occur on HSL around January 20, 2020, when the transmission of the disease between humans was announced. Then very rapidly a situation was reached where COVID-related hashtags occupied 30-70% of the HSL, however, with changing content. We give an analysis of how the hashtag topics changed during the investigated time span and conclude that there are three periods separated by February 12 and March 12. In period 1, we see strong topical correlations and clustering of hashtags; in period 2, the correlations are weakened, without clustering pattern; in period 3, we see a potential of clustering while not as strong as in period 1. We further explore the dynamics of HSL by measuring the ranking dynamics and the lifetimes of hashtags on the list. This way we can obtain information about the decay of attention, which is important for decisions about the temporal placement of governmental measures to achieve permanent awareness. Furthermore, our observations indicate abnormally higher rank diversity in the top 15 ranks on HSL due to the COVID-19 related hashtags, revealing the possibility of algorithmic intervention from the platform provider.

The online version contains supplementary material available at 10.1140/epjds/s13688-021-00263-0.

The online version contains supplementary material available at 10.1140/epjds/s13688-021-00263-0.

The lockdown orders established in multiple countries in response to the Covid-19 pandemic are arguably one of the most widespread and deepest shock experienced by societies in recent years. Studying their impact trough the lens of social media offers an unprecedented opportunity to understand the susceptibility and the resilience of human activity patterns to large-scale exogenous shocks. Firstly, we investigate the changes that this upheaval has caused in online activity in terms of time spent online, themes and emotion shared on the platforms, and rhythms of content consumption. Secondly, we examine the resilience of certain platform characteristics, such as the daily rhythms of emotion expression.

Two independent datasets about the French cyberspace a fine-grained temporal record of almost 100 thousand YouTube videos and a collection of 8 million Tweets between February 17 and April 14, 2020.

In both datasets we observe a reshaping of the circadian rhythms with an increase of night activity during the lockdown. The analysis of the videos and tweets published during lockdown shows a general decrease in emotional contents and a shift from themes like work and money to themes like death and safety. However, the daily patterns of emotions remain mostly unchanged, thereby suggesting that emotional cycles are resilient to exogenous shocks.

The online version contains supplementary material available at 10.1140/epjds/s13688-021-00262-1.

The online version contains supplementary material available at 10.1140/epjds/s13688-021-00262-1.In this short paper, I look back at the early stages of the Corona crisis, around early February 2020, and compare the situation with the climate crisis. Although these two problems unfold on a completely different timescale (weeks in the case of Corona, decades in the case of climate change), I find some rather striking similarities between these two problems, related with issues such as uncertainty, free-rider incentives, and disincentives of politicians to adequately address the respective issue with early, farsighted and possibly harsh policy measures. I then argue that for complex problems with certain characteristics, it may be necessary to establish novel political decision procedures that sidestep the normal, day-to-day political proceedings. These would be procedures that actively involve experts, and lower the involvement of political parties as far as possible to minimize the decision-makers' disincentives.The Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV-2) has been established now to be a deadly disease afflicting the whole world with worst consequences on healthcare, economy and day-to-day life activities. Being a communicable disease, which is highly pathogenic in humans, causing cough, throat infection, breathing problems, high fever, muscle pain, and may lead to death in some cases especially those having other comorbid conditions such as heart or kidney problems, and diabetes. Finding an appropriate drug and vaccine candidate against coronavirus disease (COVID-19) remains an ultimate and immediate goal for the global scientific community. Based on previous studies in the literature on SARS-CoV infection, there are a number of drugs that may inhibit the replication of SARS-CoV-2 and its infection. Such drugs comprise of inhibitors of Angiotensin-Converting Enzyme 2 (ACE2), transmembrane Serine Protease 2 (TMPRSS2), nonstructural protein 3C-like protease, nonstructural RNA-dependent RNA polymerase (RdRp) and many more. The antiviral drugs such as chloroquine and hydroxychloroquine, lopinavir and ritonavir as inhibitors for HIV protease, nucleotide analogue remdesivir, and broad-spectrum antiviral drugs are available to treat the SARS-CoV-2-infected patients. Therefore, this review article is planned to gain insight into the mechanism for blocking the entry of SARS-CoV-2, its validation, other inhibition mechanisms, and development of therapeutic drugs and vaccines against SARS-CoV-2.The pandemic COVID-19 was caused by a novel Coronavirus-2 (SARS-CoV-2) that infects humans through the binding of glycosylated SARS-CoV-2 spike 2 protein to the glycosylated ACE2 receptor. The spike 2 protein recognizes the N-terminal helices of the glycosylated metalloprotease domain in the human ACE2 receptor. To understand the susceptibility of animals for infection and transmission, we did sequence and structure-based molecular interaction analysis of 16 ACE2 receptors from different mammalian species with SARS-CoV-2 spike 2 receptor binding domain. Our comprehensive structure analysis revealed that the natural substitution of amino acid residues Gln24, His34, Phe40, Leu79 and Met82 in the N-terminal α1 and α2 helices of the ACE2 receptor results in loss of crucial network of hydrogen-bonded and hydrophobic interactions with receptor binding domain of SARS-CoV-2 spike protein. Another striking observation is the absence of N-glycosylation site Asn103 in all mammals and many species, lack more than one N-linked glycosylation site in the ACE2 receptor. Based on the loss of crucial interactions and the absence of N-linked glycosylation sites we categorized Felis catus, Equus caballus, Panthera tigris altaica, as highly susceptible while Oryctolagus cuniculus, Bos Tauras, Ovis aries and Capra hircus as moderately susceptible species for infection. Similarly, the E. asinus, Bubalus bubalis, Canis lupus familiaris, Ailuropoda melaleuca and Camelus dromedarius are categorized as low susceptible with Loxodonta Africana, Mus musculus, Sus scrofa and Rattus rattus as least susceptible species for SARS-CoV-2 infection.

The online version contains supplementary material available at 10.1007/s13205-020-02599-2.

The online version contains supplementary material available at 10.1007/s13205-020-02599-2.In this study, an indigenous novel hydrocarbonoclastic (kerosene and diesel degrading) and biosurfactant producing strain Fictibacillus phosphorivorans RP3 was identified. The characteristics of bacterial strain were ascertained through its unique morphological and biochemical attributes, 16S rRNA sequencing, and phylogenetic analysis. The degradation of hydrocarbons by F. phosphorivorans RP3 was observed at Day 7, Day 10 and Day 14 of the experimental duration. GC-FID chromatograms demonstrated a significant increase in hydrocarbon degradation (%) with progressing days (from 7 to 14). The bacterium exhibited capability to utilize and degrade n-hexadecane (used for primary screening) and petroleum hydrocarbons (kerosene and diesel; by ≥ 90%). With increase in the number of experimentation days, the optical density of the culture medium increased, whereas pH declined (became acidic) for both Kerosene and Diesel. Absence of resistance to routinely used antibiotics makes it an ideal candidate for future field application.