Adverse Side Effects of Noise given rise to Vector Network Analyzer (VNA)

2019 ◽  
Author(s):  
Nadia Fezai ◽  
Abdessattar Ben Amor
Keyword(s):  
Side Effects ◽  
Vector Network Analyzer ◽  
Network Analyzer ◽  
Adverse Side Effects

SARS-CoV-2 Biology Insights, Part I. Genome-wide structure and druggability: literature review (Preprint)

2020 ◽  
Author(s):  
Laura Lafon-Hughes
Keyword(s):  
Side Effects ◽  
Literature Review ◽  
Host Cell ◽  
Nucleoside Analogs ◽  
Viral Proteins ◽  
Therapeutic Strategies ◽  
Adverse Side Effects ◽  
Viral Proteases ◽  
Genome Wide ◽  
Therapeutic Alternatives

BACKGROUND COVID-19 pandemic prompts the study of coronavirus biology and search of putative therapeutic strategies. OBJECTIVE To compare SARS-CoV-2 genome-wide structure and proteins with other coronaviruses, focusing on putative coronavirus-specific or SARS-CoV-2 specific therapeutic designs. METHODS The genome-wide structure of SARS-CoV-2 was compared to that of SARS and other coronaviruses in order to gain insights, doing a literature review through Google searches. RESULTS There are promising therapeutic alternatives. Host cell targets could be modulated to hamper viral replication, but targeting viral proteins directly would be a better therapeutic design, since fewer adverse side effects would be expected. CONCLUSIONS Therapeutic strategies (Figure 1) could include the modulation of host targets (PARPs, kinases) , competition with G-quadruplexes or nucleoside analogs to hamper RDRP. The nicest anti-CoV options include inhibitors of the conserved essential viral proteases and drugs that interfere ribosome slippage at the -1 PRF site.

Reconfigurable SDM Optical Vector Network Analyzer

2014 ◽  
Author(s):  
Joel Carpenter ◽  
Benjamin J. Eggleton ◽  
Jochen Schröder
Keyword(s):  
Vector Network Analyzer ◽  
Network Analyzer

scholarly journals Wideband Active Load–Pull by Device Output Match Compensation Using a Vector Network Analyzer

2021 ◽  
Vol 69 (1) ◽  
pp. 874-886
Author(s):  
Alberto Maria Angelotti ◽  
Gian Piero Gibiino ◽  
Troels S. Nielsen ◽  
Dominique Schreurs ◽  
Alberto Santarelli
Keyword(s):  
Vector Network Analyzer ◽  
Network Analyzer ◽  
Active Load ◽  
Load Pull

scholarly journals Simulation and Experimental Study of the Near Field Probe in the Form of a Folded Dipole for Measuring Glucose Concentration

2021 ◽  
Vol 11 (12) ◽  
pp. 5415
Author(s):  
Aleksandr Gorst ◽  
Kseniya Zavyalova ◽  
Aleksandr Mironchev ◽  
Andrey Zapasnoy ◽  
Andrey Klokov
Keyword(s):  
Experimental Measurement ◽  
Glucose Concentration ◽  
Field Experiments ◽  
Near Field ◽  
Vector Network Analyzer ◽  
Human Hand ◽  
Physical Parameters ◽  
Network Analyzer ◽  
Frequency Range ◽  
Average Deviation

The article investigates the near-field probe of a special design to account for changes in glucose concentration. The probe is designed in such a way that it emits radiation in both directions from its plane. In this paper, it was proposed to modernize this design and consider the unidirectional emission of the probe in order to maximize the signal and reduce energy loss. We have done extensive research for both bidirectional and unidirectional probe designs. Numerical simulations and field experiments were carried out to determine different concentrations of glucose (0, 4, 5.3, 7.5 mmol/L). Numerical modeling of a unidirectional probe showed that the interaction of radiation generated by such a probe with a multilayer structure simulating a human hand showed a better result and high sensitivity compared to a bidirectional probe. Further, based on the simulation results, a phantom (physical model) of a human hand was recreated from layers with dielectric properties as close as possible to the properties of materials during simulation. The probe was constructed from a copper tube and matched both the geometric and physical parameters of the model. The experimental measurement was carried out using a vector network analyzer in the frequency range 2–10 GHz. The experimental measurement was carried out using a vector network analyzer in the frequency range 2–10 GHz for the unidirectional and bidirectional probes. Further, the results of the experiment were compared with the results of numerical simulation. According to the results of multiple experiments, it was found that the average deviation between the concentrations was 2 dB for a unidirectional probe and 0.4 dB for a bidirectional probe. Thus, the sensitivity of the unidirectional probe was 1.5 dB/(mmol/L) for the bidirectional one 0.3 dB/(mmol/L). Thus, the improved design of the near-field probe can be used to record glucose concentrations.

scholarly journals Brain-specific inhibition of mTORC1 eliminates side effects resulting from mTORC1 blockade in the periphery and reduces alcohol intake in mice

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Yann Ehinger ◽  
Ziyang Zhang ◽  
Khanhky Phamluong ◽  
Drishti Soneja ◽  
Kevan M. Shokat ◽  
...  
Keyword(s):  
Side Effects ◽  
Inhibitory Action ◽  
Alcohol Use Disorder ◽  
Alcohol Intake ◽  
Therapeutic Agents ◽  
Adverse Side Effects ◽  
Mtorc1 Activation ◽  
Potential Use ◽  
Heavy Alcohol Intake ◽  
Alcohol Dependent

AbstractAlcohol Use Disorder (AUD) affects a large portion of the population. Unfortunately, efficacious medications to treat the disease are limited. Studies in rodents suggest that mTORC1 plays a crucial role in mechanisms underlying phenotypes such as heavy alcohol intake, habit, and relapse. Thus, mTORC1 inhibitors, which are used in the clinic, are promising therapeutic agents to treat AUD. However, chronic inhibition of mTORC1 in the periphery produces undesirable side effects, which limit their potential use for the treatment of AUD. To overcome these limitations, we designed a binary drug strategy in which male mice were treated with the mTORC1 inhibitor RapaLink-1 together with a small molecule (RapaBlock) to protect mTORC1 activity in the periphery. We show that whereas RapaLink-1 administration blocked mTORC1 activation in the liver, RapaBlock abolished the inhibitory action of Rapalink-1. RapaBlock also prevented the adverse side effects produced by chronic inhibition of mTORC1. Importantly, co-administration of RapaLink-1 and RapaBlock inhibited alcohol-dependent mTORC1 activation in the nucleus accumbens and attenuated alcohol seeking and drinking.

One-Class-Based Intelligent Classifier for Detecting Anomalous Situations During the Anesthetic Process

2020 ◽  
Author(s):  
Alberto Leira ◽  
Esteban Jove ◽  
Jose M Gonzalez-Cava ◽  
José-Luis Casteleiro-Roca ◽  
Héctor Quintián ◽  
...  
Keyword(s):  
Side Effects ◽  
Anomaly Detection ◽  
General Anesthesia ◽  
Closed Loop ◽  
Real Data ◽  
Successful Performance ◽  
Final Model ◽  
Detection Techniques ◽  
Adverse Side Effects ◽  
Operative Recovery

Abstract Closed-loop administration of propofol for the control of hypnosis in anesthesia has evidenced an outperformance when comparing it with manual administration in terms of drug consumption and post-operative recovery of patients. Unlike other systems, the success of this strategy lies on the availability of a feedback variable capable of quantifying the current hypnotic state of the patient. However, the appearance of anomalies during the anesthetic process may result in inaccurate actions of the automatic controller. These anomalies may come from the monitors, the syringe pumps, the actions of the surgeon or even from alterations in patients. This could produce adverse side effects that can affect the patient postoperative and reduce the safety of the patient in the operating room. Then, the use of anomaly detection techniques plays a significant role to avoid this undesirable situations. This work assesses different one-class intelligent techniques to detect anomalies in patients undergoing general anesthesia. Due to the difficulty of obtaining real data from anomaly situations, artificial outliers are generated to check the performance of each classifier. The final model presents successful performance.

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