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Segmentation of Brain Magnetic Resonance Images using Deep Learning Classification and Multi-modal Composition
Conclusion: In this work, deep convolution neural network with different modalities of MR image are used to detect the brain tumor. The new input image was created by convoluting the input image of the different modalities and their weights. The weights are determined using the standard deviation of the block. Segmentation accuracy is high with efficient appearance and spatial consistency. The assessment of segmented images is completely evaluated by using well-established metrics. In future, the proposed method will be considered and evaluated with other databases and the segmentation accuracy results should be analysed w...
Source: Current Signal Transduction Therapy - December 1, 2020 Category: Molecular Biology Source Type: research

S-Phase Kinase-Associated Protein-2 and Nuclear Factor-kappa Beta as Molecular Targets of Oral Burkitt’s Lymphoma Cell Induced by Quinolinone Derivate-Vesnarinone
Conclusion: Vesnarinone decreased the expression of Skp2 and NF-κB indicating these molecules may be targeted for the treatment of oral malignant Burkitt’s lymphoma (BL). The results of this work offer a promising therapeutic approach for BL tumors. (Source: Current Signal Transduction Therapy)
Source: Current Signal Transduction Therapy - December 1, 2020 Category: Molecular Biology Source Type: research

Single- and Multi-Step Image Enlargement for Medical Image Coding
Conclusion: The acquired data shows a less error in the condition of direct interpolation. The relative results of experiments are different from the type of core interpolators (BL and CC). (Source: Current Signal Transduction Therapy)
Source: Current Signal Transduction Therapy - December 1, 2020 Category: Molecular Biology Source Type: research

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Source: Current Signal Transduction Therapy - December 1, 2020 Category: Molecular Biology Source Type: research

Implementation of Neural Network with ALE for the Removal of Artifacts in EEG Signals
Conclusion: Experiments show that this method can get high and accurate rate of classification. In this paper, it is proposed that a low-cost use of Field Programmable Gate Arrays (FPGAs) can be used to process EEG signals for extracting and denoising. As a preliminary study, this work shows the implementation of a Neural Network, integrated with ALE for EEG signal processing. The preliminary tests through the proposed architecture for the activation function shows to be reasonable both in terms of precision and in processing speed. (Source: Current Signal Transduction Therapy)
Source: Current Signal Transduction Therapy - July 31, 2020 Category: Molecular Biology Source Type: research

A New Approach of Position Sensorless Control for Brushless DC Motor
Conclusion: Field Programmable Gate Array (FPGA) is used to implement the proposed method. Experimental results verify the analysis and demonstrate the advantages of the proposed method. (Source: Current Signal Transduction Therapy)
Source: Current Signal Transduction Therapy - July 31, 2020 Category: Molecular Biology Source Type: research

Black Hole Attack Detection in Healthcare Wireless Sensor Networks Using Independent Component Analysis Machine Learning Technique
Conclusion: The black hole attack isolation is then performed through the distribution of the attack separation message. This supports to improve Packet Delivery Ratio (PDR) with minimum delay. The simulation is carried out based on parameters such as black hole attack detection rate (BHADR), Black Hole Attack Detection Time (BHADT), False Positive Rate (FPR), PDR and delay. (Source: Current Signal Transduction Therapy)
Source: Current Signal Transduction Therapy - July 31, 2020 Category: Molecular Biology Source Type: research

Efficient Spectral Allocation for Cognitive Full Duplex Relay Network Systems Based Soft Computing Technique
Conclusion: The performance results of the proposed method are evaluated in terms of spectral allocation and outage probability which achieves better performance than the existing Multi- Objective Genetic Algorithm (MOGA) optimization. (Source: Current Signal Transduction Therapy)
Source: Current Signal Transduction Therapy - July 31, 2020 Category: Molecular Biology Source Type: research

Channel Scheduling Based on Orchestrator Live Node-Wavelength Reservation for Optical Burst Switching Networks
Conclusion: The controlling of maximum burst transfer delay by the OTBA efficiently reduces the end-to-end delay for data traffic. The comparative analysis between the proposed OLN-WR with the existing Hybrid Burst Assembly (HBA), Fuzzy-based Adaptive Threshold (FAT) and Fuzzy-based Adaptive Hybrid Burst Assembly (FAHBA) in terms of end-to-end delay and transmitted amount of bursts assures the applicability of OLN-WR in scheduling and communication activities in OBS networks. (Source: Current Signal Transduction Therapy)
Source: Current Signal Transduction Therapy - July 31, 2020 Category: Molecular Biology Source Type: research

Genetic Algorithm to Evaluate Downstream and Upstream Information Sharing
Conclusion: Our approach is illustrated by some numerical experiments. (Source: Current Signal Transduction Therapy)
Source: Current Signal Transduction Therapy - July 31, 2020 Category: Molecular Biology Source Type: research

Kinase Phosphorylation-based Mechanisms of PARP Inhibitor Resistance During Synthetic Lethal Oncotherapy
Conclusion: These kinase-based signaling pathways are biologically important for understanding the compensatory system of HR, whereas inactivation of these kinases has shown promise for the release of PARPi resistance. Several lines of preclinical studies have demonstrated the potential use of kinase inhibitors to enhance PARPi sensitivity. We emphasize the clinical importance of chemical inhibitors as adjuvant drugs to block critical kinase activities and prevent the possible PARPi resistance. (Source: Current Signal Transduction Therapy)
Source: Current Signal Transduction Therapy - July 31, 2020 Category: Molecular Biology Source Type: research

Abnormal Signal Transduction via Over-expression of Pim-1 Regulated Senescence, Cell Cycle, Apoptosis and Metastatic Invasion: Novel Anticancer Targets and Their Potent Inhibitors from Marine Sources
Conclusion: Existed marine sourced anticancer compounds tabulated in this study could be used as a template for further design and synthesis of promising congeneric synthetic compounds against another disease by the application of in silico high throughput screening through drug repositioning. (Source: Current Signal Transduction Therapy)
Source: Current Signal Transduction Therapy - July 31, 2020 Category: Molecular Biology Source Type: research

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Source: Current Signal Transduction Therapy - July 31, 2020 Category: Molecular Biology Source Type: research

Preface
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Source: Current Signal Transduction Therapy - July 31, 2020 Category: Molecular Biology Source Type: research

Acknowledgements to Reviewers
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Source: Current Signal Transduction Therapy - June 30, 2020 Category: Molecular Biology Source Type: research