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Information Technology Daily
2021 FEB 09 (NewsRx) By a News Reporter-Staff News Editor at Information Technology Daily Investigators publish new report on Information Technology - Data Recovery. According to news reporting originating in Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “In this paper, we focus on the false data injection attacks (FDIAs) on state estimation and corresponding countermeasures for data recovery in smart grid. Without the information about the topology and parameters of systems, two data-driven attacks (DDAs) with noisy measurements are constructed, which can escape the detection from the residue-based bad data detection (BDD) in state estimator.”
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Researchers from Queen Mary University of London and Zhengzhou University have developed a powerful therapeutic platform that uses a modified virus for the treatment of pancreatic cancer. By using the virus in combination with other drugs, the treatment significantly extended survival in preclinical models of pancreatic cancer.
Viruses that can selectively infect and destroy cancer cells, known as oncolytic viruses, are a promising new class of therapeutics for cancer. Through various mechanisms, oncolytic viruses kill cancer cells and elicit strong anti-tumour immune responses. However, current oncolytic virotherapy is unable to produce a long-term cure in patients, and the treatment has to be delivered directly into the tumour - a route that is not feasible for deeply embedded tumours, or tumours that have spread around the body.
Novel platform uses modified virus to combat pancreatic cancer
Researchers from Queen Mary University of London and Zhengzhou University have developed a powerful therapeutic platform that uses a modified virus for the treatment of pancreatic cancer.
By using the virus in combination with other drugs, the treatment significantly extended survival in preclinical models of pancreatic cancer.
Viruses that can selectively infect and destroy cancer cells, known as oncolytic viruses, are a promising new class of therapeutics for cancer. Through various mechanisms, oncolytic viruses kill cancer cells and elicit strong anti-tumour immune responses.
However, current oncolytic virotherapy is unable to produce a long-term cure in patients, and the treatment has to be delivered directly into the tumour - a route that is not feasible for deeply embedded tumours, or tumours that have spread around the body.
Credit: JING Gongchao
Metagenomics - the study of genetic material from an environmental sample - is growing as species evolve or are discovered across the globe. To correlate the newly developed microbiomes with existing data sets, a team of researchers based in China has developed the Microbiome Search Engine 2 (MSE 2). It was published on Jan. 19 in
mSystems, a journal of the American Society for Microbiology. Here, we introduce MSE 2, a microbiome database platform for searching query microbiomes in the global metagenome data space based on taxonomic or functional similarity of the whole microbiome, said co-first author JING Gongchao, Single-Cell Center, CAS Key Laboratory of Biofuels, Qingdao Institute of BioEnergy and Bioprocess Technology (QIBEBT), Chinese Academy of Sciences (CAS).
Credit: JING Gongchao
A new algorithm may reduce the need for expensive, time-consuming whole-genome sequencing computations to understand how a microbiome functions. A team led by JING Gongchao of the Qingdao Institute of BioEnergy and Bioprocess Technology (QIBEBT) of the Chinese Academy of Sciences (CAS) and SU Xiaoquan of Qingdao University, published their approach, called Meta-Apo, on Jan. 6 in
BMC Genomics.
Researchers routinely sequence samples of microbial communities found on human skin, in human guts, and in the environment to understand what genes they contain with the ultimate goal of understanding how they function.
According to JING, the first author of the study, two main approaches exist: shotgun whole-genome sequencing and 16S rRNA gene amplicons. Whole-genome sequencing requires significant sequencing cost as well as computing power to determine all of the genes and their functions in a single sample, while 16S rRNA gene amplicons can quickly tease out a sa