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Academic literature on the topic 'MRBOA'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "MRBOA"

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Hathal, Hussein M., Ramzy S. Ali, and Abdulkareem S. Abdullah. "A Novel Metaheuristic Moss-Rose-Inspired Algorithm with Engineering Applications." Electronics 10, no. 16 (August 4, 2021): 1877. http://dx.doi.org/10.3390/electronics10161877.

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Every day, a moss rose generates new flowers with variable diameters. Two flowering mechanisms are controlled by exposure to sunlight, namely, a variable concentration of florigen based on photoreceptors called phytochromes, and the biological clock, which is responsible for the changing diameters of the plant flowers at night and some hours during the day. By explaining and idealizing the flowering mechanisms of the moss rose in nature, a new sort of nature-inspired optimization algorithm called the moss rose optimization algorithm (MROA) was proposed in this study. The MROA was benchmarked using three methods. First, 18 benchmark functions were utilized to evaluate the effectiveness of the MROA. Second, the MROA was used for planning a smart antenna system (SA) as an online solution to find unknown weights. Third, the MROA was used to find the optimal dimensions for a microstrip antenna for the frequency (2.4 GHz) as an offline solution. The MROA was compared with other algorithms. The results show the capacities and proficiencies of the proposed algorithm regarding finding the ideal solutions. The promising arrangements for smart antenna identification and microstrip antenna design highlight the importance of this algorithm for resolving current issues with unknown fields of investigation.
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Alluhaidan, Ala Saleh, Mashael Maashi, Munya A. Arasi, Ahmed S. Salama, Mohammed Assiri, and Amani A. Alneil. "Mud Ring Optimization Algorithm with Deep Learning Model for Disease Diagnosis on ECG Monitoring System." Sensors 23, no. 15 (July 26, 2023): 6675. http://dx.doi.org/10.3390/s23156675.

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Due to the tremendous growth of the Internet of Things (IoT), sensing technologies, and wearables, the quality of medical services has been enhanced, and it has shifted from standard medical-based health services to real time. Commonly, the sensors can be combined as numerous clinical devices to store the biosignals generated by the physiological actions of the human body. Meanwhile, a familiar method with a noninvasive and rapid biomedical electrocardiogram (ECG) signal can be used to diagnose and examine cardiovascular disease (CVD). As the growing number of patients is destroying the classification outcome because of major changes in the ECG signal patterns among numerous patients, computer-assisted automatic diagnostic tools are needed for ECG signal classification. Therefore, this study presents a mud ring optimization technique with a deep learning-based ECG signal classification (MROA-DLECGSC) technique. The presented MROA-DLECGSC approach recognizes the presence of heart disease using ECG signals. To accomplish this, the MROA-DLECGSC technique initially preprocessed the ECG signals to transform them into a uniform format. In addition, the Stacked Autoencoder Topographic Map (SAETM) approach was utilized for the classification of ECG signals to identify the presence of CVDs. Finally, the MROA was applied as a hyperparameter optimizer, which assisted in accomplishing enhanced performance. The experimental outcomes of the MROA-DLECGSC algorithm were tested on the benchmark database, and the results show the better performance of the MROA-DLECGSC methodology compared to other recent algorithms.
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Wen, Changsheng, Heming Jia, Di Wu, Honghua Rao, Shanglong Li, Qingxin Liu, and Laith Abualigah. "Modified Remora Optimization Algorithm with Multistrategies for Global Optimization Problem." Mathematics 10, no. 19 (October 2, 2022): 3604. http://dx.doi.org/10.3390/math10193604.

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Remora Optimization Algorithm (ROA) is a metaheuristic optimization algorithm, proposed in 2021, which simulates the parasitic attachment, experiential attack, and host feeding behavior of remora in the ocean. However, the performance of ROA is not very good. Considering the habits of the remora that rely on the host to find food, and in order to improve the performance of the ROA, we designed a new host-switching mechanism. By adding new a host-switching mechanism, joint opposite selection, and restart strategy, a modified remora optimization algorithm (MROA) is proposed. We use 23 standard benchmark and CEC2020 functions to test the performance of MROA and compare them with eight state-of-art optimization algorithms. The experimental results show that MROA has better-optimized performance and robustness. Finally, the ability of MROA to solve practical problems is demonstrated by five classical engineering problems.
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TILLMAN, GLENN E., JAMIE L. WASILENKO, MUSTAFA SIMMONS, TODD A. LAUZE, JOSEPH MINICOZZI, BRIAN B. OAKLEY, NEELAM NARANG, PINA FRATAMICO, and WILLIAM C. CRAY. "Isolation of Shiga Toxin–Producing Escherichia coli Serogroups O26, O45, O103, O111, O121, and O145 from Ground Beef Using Modified Rainbow Agar and Post–Immunomagnetic Separation Acid Treatment†." Journal of Food Protection 75, no. 9 (September 1, 2012): 1548–54. http://dx.doi.org/10.4315/0362-028x.jfp-12-110.

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It is estimated that at least 70% of human illnesses due to non-O157 Shiga toxin–producing Escherichia coli (STEC) in the United States are caused by strains from the top six serogroups (O26, O45, O103, O111, O121, and O145). Procedures for isolating STEC from food products often use plating media that include antimicrobial supplements at concentrations that inhibit background microflora growth but can also inhibit target STEC growth. In this study, an agar medium with lower supplement concentrations, modified Rainbow agar (mRBA), was evaluated for recovery of STEC serogroups O26, O45, O103, O111, O121, and O145 from ground beef enrichments. A post–immunomagnetic separation (IMS) acid treatment step was additionally used to reduce background microflora and increase recovery of target STEC strains. Ground beef samples (325 g) were artificially contaminated with STEC and confounding organisms and enriched for 15 h. Recovery of the target STEC was attempted on the enrichments using IMS and plating onto mRBA and Rainbow agar (RBA). Additionally, acid treatment was performed on the post-IMS eluate followed by plating onto mRBA. Using the combination of mRBA and acid treatment, target STEC were isolated from 103 (85.8%) of 120 of the low-inoculated samples (1 to 5 CFU/325-g sample) compared with 68 (56.7%) of 120 using no acid treatment and plating onto RBA with higher levels of novobiocin and potassium tellurite. The combination of acid treatment and mRBA provides a significant improvement over the use of RBA for isolation of STEC serogroups O26, O45, O103, O111, O121, and O145 from raw ground beef.
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Martynova, T. A., N. I. Maksimov, and M. M. Glavatskikh. "Relationship between electrokinetic parameters of red blood cells and acute coronary syndrome." Perm Medical Journal 35, no. 6 (December 30, 2018): 29–35. http://dx.doi.org/10.17816/pmj35629-35.

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Aim. To assess the state of electrokinetic properties of red blood cells in different variants of the course of acute coronary syndrome (ACS). Materials and methods. The study deals with the assessment of clinical and laboratory-instrumental data from 201 patients with ACS, the results of electrokinetic parameters of red blood cells, their predictors. Results. According to electrokinetic indices of erythrocytes, no reliable differences between the groups were found out. The mean red blood cell oscillation amplitude (MRBCOA) in group 1 was 1.83 ± 0.05, in group 2 – 1.75 ± 0.06 (t = 0.955, p = 0.341). Stationary red blood cell percentage (SRBCP) in patients with NSTE-ACS was 15.6 ± 1.45, in patients with STE-ACS – 13.54 ± 1.64 (t = 0.957, p = 0.339). The methods of multiple disperse and regressive analysis were used. Predictors of SRBCP indices in NSTE-ACS group appeared to be intima-media complex thickness (IMCT), left ventricle diastolic dysfunction, coronary insufficiency index (CII); in STE-ACS group – IMCT, MRBCOA, troponin I and AST levels. In STE-ACS group, predictors of MRBCOA were SRBCP and troponin I level, in NSTE-ACS – no predictors, influencing MRBCOAwere revealed. Conclusions. In NSTE-ACS group, the following predictors, influencing SRBCP were detected:IMCT, CII, LV diastolic dysfunction. In patients of STE-ACS group, there were found the predictors, influencing electrokinetic properties of red blood cells: IMCT, AST, troponin I. In acute coronary syndrome, changes in electrokinetic parameters of red blood cells are mainly influenced by atherosclerotic process, however, in NSTE-ACS, structural-functional status of myocardium is of primary significance, and in STE-ACS – the degree of manifestation of resorptive-necrotic syndrome.
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LEWIS, GENTRY L., NATALIA CERNICCHIARO, and RODNEY A. MOXLEY. "Performance of Chromogenic Agar Media for Isolation of Shiga Toxin–Producing Escherichia coli from Ground Beef." Journal of Food Protection 83, no. 7 (June 22, 2020): 1149–54. http://dx.doi.org/10.4315/jfp-19-585.

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ABSTRACT The performance of three chromogenic agar media for detection of the “top seven” Shiga toxin–producing Escherichia coli (STEC) in beef was compared. Samples of retail ground beef were inoculated with STEC O26, O45, O103, O111, O121, O145, or O157 at geometric mean (±standard error of the mean) levels of 0, 48 (±1), 420 (±1), 4,100 (±1), or 45,000 (±1) CFU/10 g and enriched 1:10 (90 mL) in EC broth (40°C for 6 h). Following enrichment, aliquots of broth culture were treated by immunomagnetic separation with one of three pools of beads against the seven STEC serogroups: pool I, O26, O45, and O121; pool II, O103, O111, and O145; and pool III, O157. After immunomagnetic separation, 50 μL of washed bead suspensions in buffered peptone water were spiral plated onto modified Rainbow Agar O157 (mRBA), CHROMagar STEC (CS), or modified Possé differential medium (mPossé2) and incubated at 37°C for 18 h. Up to six isolated colonies were picked from each spiral plate based on expected colony phenotypes for STEC on the respective media, and isolate identity was confirmed with an 11-plex PCR assay targeting the O serogroups and virulence genes. Overall, mRBA had the highest sensitivity (99.2%), correctly detecting a significantly higher proportion of STEC serogroups than either CS (79.4%; P < 0.05) or mPossé2 (91.7%; P < 0.05). mRBA also had the highest negative predictive value (90.0%), correctly identifying a significantly higher proportion of true-negative samples compared with CS (25.7%; P < 0.05) and mPossé2 (46.2%; P < 0.05). However, mRBA also had the lowest analytical specificity of 83.2% (P < 0.05), yielding the lowest proportion of colonies tested that were STEC positive (3,548 of 4,263) compared with 97.7% (3,607 of 3,693) for mPossé2 and 98.0% (2,875 of 2,935) for CS. Reduced specificity results in more work and higher expense due to the increased number of colonies that must be tested. Further improvements in agar culture media for non-O157 STEC isolation are needed. HIGHLIGHTS
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7

Hathal, Hussein, Abdulkareem Abdullah, and Ramzy Ali. "Design and Optimizing of Compact Ultra-Wide Band Printed Patch Antenna Employing Different Optimization Algorithms Based on Plant Inspiration." Basrah journal for engineering science 22, no. 1 (April 24, 2022): 86–92. http://dx.doi.org/10.33971/bjes.22.1.10.

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In this paper, a compact ultra-wide band (UWB) printed patch antenna is designed and optimized using four biologically and plant inspired optimization algorithms. These algorithms are the newly adopted Moss Rose Optimization Algorithm (MROA), Runner Root Algorithm (RRA), Sunflower Optimization Algorithm (SFOA) and Particle Swarm Optimization (PSO). These algorithms are modified in an optimizer software, which merges the attributes of the design of electromagnetic environment of CST Microwave Studio with those of the technical programming environment of MATLAB. A compact (12 × 21.5) mm2 printed patch antenna has been proposed and simulated over the whole UWB frequency range using these four optimization algorithms. The simulation results show the superiority of the antenna design using MROA, which has the widest covered frequency range, the lowest reflection coefficient and the lowest standing wave ratio.
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8

Barik, Ranjan Kumar, Manoranjan Pradhan, and Rutuparna Panda. "Efficient Conversion Technique from Redundant Binary to NonRedundant Binary Representation." Journal of Circuits, Systems and Computers 26, no. 09 (April 24, 2017): 1750135. http://dx.doi.org/10.1142/s0218126617501353.

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Redundant Binary (RB) to Two’s Complement (TC) converter offers nonredundant representation. However, the sign bit of TC representation has to be handled using nonstandard hardware blocks. The concept of Inverted encoding of negative weighted bits (IEN) eliminates the need of sign extension and offers design only using predefined hardware blocks. NonRedundant Binary (NRB) representation refers to both conventional and IEN representations. The NRB representation is also useful considering problem related to shifting in Carry Save (CS) representation of a RB number. In this paper, we have proposed two new conversion circuits for RB to NRB representation. The proposed circuits of the RB to NRB converter are coded in Verilog Hardware Description language (HDL) and synthesized using the Encounter(R) RTL Compiler RC13.10 v13.10-s006_1 of Cadence tool considering ASIC platform. Considering 64 bits’ operand, the delay power product performances of proposed one-bit and two-bit computations offer improvement of almost 29.9% and 47%, respectively as compared to Carry-Look-Ahead (CLA). The proposed one-bit converter is also applied in the final stage of the Modified Redundant Binary Adder (MRBA). The 32-bit MRBA offers a delay improvement of 7.87% replacing conventional converter with proposed one-bit converter in same FPGA 4vfx12sf363-12 device.
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9

Song, Danny Y., Doru Petrisor, Michael Muntener, Pierre Mozer, Bogdan Vigaru, Alex Patriciu, Michael Schar, and Dan Stoianovici. "MRI-compatible pneumatic robot (MRBot) for prostate brachytherapy: Preclinical evaluation of feasibility and accuracy." Brachytherapy 7, no. 2 (April 2008): 177–78. http://dx.doi.org/10.1016/j.brachy.2008.02.445.

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Stoianovici, D., D. Y. Song, D. Petrisor, P. Mozer, E. Armour, B. Vigaru, M. Muntener, A. Patriciu, and M. Schar. "MRI-compatible Pneumatic Robot (MRBot) for Prostate Brachytherapy: Preclinical Assessment of Accuracy and Execution of Dosimetric Plans." International Journal of Radiation Oncology*Biology*Physics 72, no. 1 (September 2008): S306—S307. http://dx.doi.org/10.1016/j.ijrobp.2008.06.1071.

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Dissertations / Theses on the topic "MRBOA"

1

Shee, Somnath. "Manipulating Bacterial and Host Reactive Oxygen Species (ROS)- based mechanisms to potentiate killing of Mycobacterium tuberculosis (Mtb)." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5680.

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Mycobacterium tuberculosis (Mtb) is evolutionarily equipped to resist exogenous reactive oxygen species but shows vulnerability to an increase in endogenous ROS (eROS). Since eROS is an unavoidable consequence of aerobic metabolism, understanding how eROS levels are controlled is essential yet remains uncharacterized. By combining the Mrx1-roGFP2 redox biosensor with transposon mutagenesis, we identified 368 genes (redoxosome) responsible for maintaining non-toxic levels of eROS in Mtb. Integrating redoxosome with a global network of protein-protein interactions and transcriptional regulators revealed a hypothetical protein (rv0158) as a top node managing eROS and redox homeostasis in Mtb. RNA sequencing, seahorse XF flux measurements, and lipid analysis indicate that rv0158 is required to balance the deployment of fatty acid substrates between lipid anabolism and oxidation. Disruption of rv0158 perturbed redox balance in a carbon-source-specific manner, promoted killing in response to anti-TB drugs, reduced survival in macrophages, and lowered persistence in mice. We describe a novel pathogen response to moxifloxacin. Mtb, unlike Escherichia coli, decreases respiration in response to moxifloxacin. Nevertheless, cells were killed, as ROS increased due to NADH-dependent reductive stress. Moxifloxacin lethality was mitigated by supplementing bacterial cultures with a ROS scavenger (thiourea), and an iron chelator (bipyridyl), indicating ROS is part and not a consequence of death processes. Treatment with N-acetyl cysteine (NAC) accelerated respiration and ROS production, increased moxifloxacin lethality, and lowered the mutant prevention concentration. Thus, redox and bioenergetic imbalance contribute to the moxifloxacin-mediated killing of Mtb. These results provide a way to make fluoroquinolones more effective anti-tuberculosis agents. We have previously reported that Mtb H37Rv sets up a gradient of mycothiol redox potential: EMSH-oxidized (-240 mV) to EMSH-reduced (-320 mV) inside macrophages, where the EMSH -reduced Mtb subpopulation are significantly more tolerant to anti-TB drugs. Therefore, one of the keys to subverting drug-tolerance is to impede the emergence of EMSH -reduced subpopulation by inducing overwhelming oxidative stress. In this study, we exposed THP1-macrophages infected with Mtb H37Rv expressing Mrx1-roGFP2-biosensor, to a library of FDA-approved drugs (Enzo Life Sciences; BML-2842) and scored for the oxidative shift in the Mtb- EMSH at 24 hours post infection. Based on their activity to trigger oxidative stress inside the bacterium, non-cytotoxicity to host, and inhibition of bacterial growth inside macrophages, C5 molecule emerged as the top hit. Pre-treatment with C5 potentiated killing of Mtb by all tested antibiotics (isoniazid, rifampicin, and moxifloxacin) and reduced drug-tolerance.
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