Results 11 to 20 of about 26,654,237 (305)

Lipid-Centric Approaches in Combating Infectious Diseases: Antibacterials, Antifungals and Antivirals with Lipid-Associated Mechanisms of Action

open access: yesAntibiotics, 2023
One of the global challenges of the 21st century is the increase in mortality from infectious diseases against the backdrop of the spread of antibiotic-resistant pathogenic microorganisms.
Olga S. Ostroumova, Svetlana S. Efimova
doaj   +1 more source

Modulation of the Dipole Potential of Model Lipid Membranes with Phytochemicals: Molecular Mechanisms, Structure–Activity Relationships, and Implications in Reconstituted Ion Channels

open access: yesMembranes, 2023
Phytochemicals, such as flavonoids, stilbenoids, alkaloids, terpenoids, and related compounds, have a wide range of useful pharmacological properties which cannot be ascribed to binding to a single peptide or protein target alone.
Svetlana S. Efimova, Olga S. Ostroumova
doaj   +1 more source

A Physics-Based and Data-Driven Approach for Localized Statistical Channel Modeling [PDF]

open access: yesIEEE Transactions on Wireless Communications, 2023
Localized channel modeling is crucial for offline performance optimization of wireless networks, but existing channel models are not well suited for wireless network optimization.
Shutao Zhang   +5 more
semanticscholar   +1 more source

Discovery of the Potentiator of the Pore-Forming Ability of Lantibiotic Nisin: Perspectives for Anticancer Therapy

open access: yesMembranes, 2022
This study was focused on the action of lantibiotic nisin on the phospholipid membranes. Nisin did not produce ion-permeable pores in the membranes composed of DOPC or DOPE. The introduction of DOPS into bilayer lipid composition led to a decrease in the
Dayana N. Chernyshova   +3 more
doaj   +1 more source

Millimeter Wave Channel Modeling and Cellular Capacity Evaluation [PDF]

open access: yesIEEE Journal on Selected Areas in Communications, 2013
With the severe spectrum shortage in conventional cellular bands, millimeter wave (mmW) frequencies between 30 and 300 GHz have been attracting growing attention as a possible candidate for next-generation micro- and picocellular wireless networks.
M. Akdeniz   +5 more
semanticscholar   +1 more source

Artificial Intelligence Enabled Radio Propagation for Communications—Part II: Scenario Identification and Channel Modeling [PDF]

open access: yesIEEE Transactions on Antennas and Propagation, 2021
This two-part paper investigates the application of artificial intelligence (AI) and, in particular, machine learning (ML) to the study of wireless propagation channels.
Chen Huang   +10 more
semanticscholar   +1 more source

PPI-MASS: An Interactive Web Server to Identify Protein-Protein Interactions From Mass Spectrometry-Based Proteomics Data

open access: yesFrontiers in Molecular Biosciences, 2021
Mass spectrometry-based proteomics methods are widely used to identify and quantify protein complexes involved in diverse biological processes. Specifically, tandem mass spectrometry methods represent an accurate and sensitive strategy for identifying ...
Mariela González-Avendaño   +21 more
doaj   +1 more source

Multi-User Holographic MIMO Surfaces: Channel Modeling and Spectral Efficiency Analysis [PDF]

open access: yesIEEE Journal on Selected Topics in Signal Processing, 2021
The multi-user Holographic Multiple-Input and Multiple-Output Surface (MU-HMIMOS) paradigm, which is capable of realizing large continuous apertures with minimal power consumption, has been recently considered as an energy-efficient solution for future ...
Li Wei   +6 more
semanticscholar   +1 more source

A modeling method of channel sand based on deep generation models

open access: yes地质科技通报, 2023
In traditional channel sand body modeling methods, the method based on target modeling is difficult to condition, and multipoint geostatistics have difficulty reproducing the shape of continuous channel sand bodies, which makes the modeling results ...
Xiaoyang Gao, Wenxiang He, Yong Hu
doaj   +1 more source

FadeNet: Deep Learning-Based mm-Wave Large-Scale Channel Fading Prediction and its Applications

open access: yesIEEE Access, 2021
Accurate prediction of the large-scale channel fading is fundamental to planning and optimization in 5G millimeter-wave cellular networks. The current prediction methods, which are either too computationally expensive or inaccurate, are unsuitable for ...
Vishnu V. Ratnam   +8 more
doaj   +1 more source

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