Results 91 to 100 of about 6,552,120 (397)

Targeted metabolomics reveals novel diagnostic biomarkers for colorectal cancer

Molecular Oncology, EarlyView.
This study employed targeted metabolomic profiling to identify 302 distinct metabolites present in platelet‐rich plasma (PRP), revealing aberrant metabolic profiles amongst individuals diagnosed with colorectal cancer (CRC). Compared to carcinoembryonic antigen (CEA) and cancer antigen 19‐9 (CA199), our metabolite panel showed improved sensitivity ...
Zuojian Hu, Fenglin Shen, Yang Liu, Ziqing Zhong, Yongling Chen, Zhiyuan Xia, Cuiju Mo, Hongxiu Yu   +7 more
wiley   +1 more source

Research of ways to improve the security of corporate networks

Вестник Дагестанского государственного технического университета: Технические науки
Objective. The article explores a way to improve the security of a corporate network by using the technique of spoofing sender addresses when forwarding packets between computers. Method.
N. F. Makhmutova, E. V. Birikh, D. V. Sakharov, A. S. Krivets, M. A. Degtyarev   +4 more
doaj   +1 more source

Energy Packet Networks With Energy Harvesting

IEEE Access, 2016
We investigate the cooperation among energy prosumers (unified energy provider and consumer) through the energy packet network (EPN) paradigm, which represents both the flow of work that requires energy, and the flow of energy itself, in terms of discrete units.
Erol Gelenbe, Elif Tugce Ceran
openaire   +4 more sources

CRISPR targeting of FOXL2 c.402C>G mutation reduces malignant phenotype in granulosa tumor cells and identifies anti‐tumoral compounds

Molecular Oncology, EarlyView.
FOXL2 c.402C>G mutation drives granulosa cell tumors. Using CRISPR technology, we selectively corrected this mutation, reducing malignancy and increasing sensitivity to dasatinib and ketoconazole. Transcriptomic changes revealed potential therapeutic targets, demonstrating CRISPR's promise for treating this rare ovarian cancer.
Sandra Amarilla‐Quintana, Paloma Navarro, Iván Hernández, Alejandra Ramos, Ana Montero‐Calle, Pablo Cabezas‐Sainz, Maria J Barrero, Diego Megías, Borja Vilaplana‐Martí, Carolina Epifano, Déborah Gómez‐Dominguez, Sara Monzón, Isabel Cuesta, Laura Sánchez, Rodrigo Barderas, Jesús García‐Donas, Alberto Martín, Ignacio Pérez de Castro   +17 more
wiley   +1 more source

Uncovering the Limitations and Insights of Packet Status Prediction Models in IEEE 802.15.4-Based Wireless Networks and Insights from Data Science

Informatics
Wireless networks play a pivotal role in various domains, including industrial automation, autonomous vehicles, robotics, and mobile sensor networks. This research investigates the critical issue of packet loss in modern wireless networks and aims to ...
Mariana Ávalos-Arce, Heráclito Pérez-Díaz, Carolina Del-Valle-Soto, Ramon A. Briseño   +3 more
doaj   +1 more source

Quantum key distribution in a packet-switched network

npj Quantum Information, 2023
Packet switching revolutionized the Internet by allowing the efficient use of network resources for data transmission. In a previous work, we introduced packet switching in quantum networks as a path to the Quantum Internet and presented a proof-of ...
Reem Mandil, Stephen DiAdamo, Bing Qi, Alireza Shabani   +3 more
doaj   +1 more source

Packet Score based network security and Traffic Optimization [PDF]

arXiv, 2012
One of the critical threat to internet security is Distributed Denial of Service (DDoS). This paper by the introduction of automated online attack classification and attack packet discarding helps to resolve the network security issue by certain level. The incoming packets are assigned scores based on the priority associated with the attributes and on ...
arxiv  

Molecular and functional profiling unravels targetable vulnerabilities in colorectal cancer

Molecular Oncology, EarlyView.
We used whole exome and RNA‐sequencing to profile divergent genomic and transcriptomic landscapes of microsatellite stable (MSS) and microsatellite instable (MSI) colorectal cancer. Alterations were classified using a computational score for integrative cancer variant annotation and prioritization.
Efstathios‐Iason Vlachavas, Konstantinos Voutetakis, Vivian Kosmidou, Spyridon Tsikalakis, Spyridon Roditis, Konstantinos Pateas, Ryangguk Kim, Kymberleigh Pagel, Stephan Wolf, Gregor Warsow, Antonia Dimitrakopoulou‐Strauss, Georgios N. Zografos, Alexander Pintzas, Johannes Betge, Olga Papadodima, Stefan Wiemann   +15 more
wiley   +1 more source

Congestion or No Congestion: Packet Loss Identification and Prediction Using Machine Learning [PDF]

Packet losses in the network significantly impact network performance. Most TCP variants reduce the transmission rate when detecting packet losses, assuming network congestion, resulting in lower throughput and affecting bandwidth-intensive applications like immersive applications. However, not all packet losses are due to congestion; some occur due to
arxiv   +1 more source

Checking-in on Network Functions

, 2019
When programming network functions, changes within a packet tend to have consequences---side effects which must be accounted for by network programmers or administrators via arbitrary logic and an innate understanding of dependencies.
Desmouceaux Y., Hendriks L., Panda Aurojit   +2 more
core   +1 more source