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Wound Healing, Cell Viability and Antimicrobial Potency of Mucus from Pangasianodon hypophthalmus
Acute and chronic wounds are the major cause of death according to World Health Organization (WHO), in which, antimicrobial resistance is considered to be a major plight. In this regard, our study is aimed at developing an antimicrobial agent using the mucus of Pangasianodon hypophthalmus against the clinically resistant microbial pathogens and to evaluate the cell cytotoxicity and cell viability followed by an in vitro wound healing analysis. The evaluation of antimicrobial activity was performed through well diffusion method and micro dilution method. The cell cytotoxicity and cell viability were assessed using MTT assay. The cell migration and in vitro wound healing was performed using scratch assay. The acidic extracts of mucus showed antimicrobial activity against the eight different selected bacterial strains while the organic extract showed against seven bacterial strains. L929 showed a cell viability of 102.96% at a concentration of 75 g/mL and did not show cell toxicity effect up to the concentration of 300 g/mL. In the in vitro wound healing analysis, the cell migration rate was 99.27% in the treated cells while, the untreated showed only 94.68%. The current research work clearly shows that the mucus of P. hypophthalmus possesses antimicrobial activity and wound healing potency. Furthermore, gene expression analysis and in vivo trials have to be performed for a thorough understanding of the actual cellular mechanism of wound healing. The Author(s) 2024. -
Hybrid optimization for efficient 6G IoT traffic management and multi-routing strategy
Efficient traffic management solutions in 6G communication systems face challenges as the scale of the Internet of Things (IoT) grows. This paper aims to yield an all-inclusive framework ensuring reliable air pollution monitoring throughout smart cities, capitalizing on leading-edge techniques to encourage large coverage, high-accuracy data, and scalability. Dynamic sensors deployed to mobile ad-hoc pieces of fire networking sensors adapt to ambient changes. To address this issue, we proposed the Quantum-inspired Clustering Algorithm (QCA) and Quantum Entanglement and Mobility Metric (MoM) to enhance the efficiency and stability of clustering. Improved the sustainability and durability of the network by incorporating Dynamic CH selection employing Deep Reinforcement Learning (DRL). Data was successfully routed using a hybrid Quantum Genetic Algorithm and Ant Colony Optimization (QGA-ACO) approach. Simulation results were implemented using the ns-3 simulation tool, and the proposed model outperformed the traditional methods in deployment coverage (95%), cluster stability index (0.97), and CH selection efficiency (95%). This work is expected to study the 6G communication systems as a key enabler for IoT applications and as the title legible name explains, the solutions smartly done in a practical and scalable way gives a systematic approach towards solving the IoT traffic, and multi-routing challenges that are intended to be addressed in 6G era delivering a robust IoT ecosystem in securing the process. The Author(s) 2024. -
Tuning variegated characteristics of NiO thin films via 50keV nitrogen ion beam irradiation
In this study, a systematic analysis of the changes brought about by low-energy ion beam irradiation in NiO thin films has been carried out. NiO thin films, deposited on glass substrates by RF magnetron sputtering method have been irradiated with 50keV Nitrogen ions (N+) at varied ion fluence values. With N+ irradiation, the intensity of diffraction peak corresponding to (440) decreases up to ion fluence of 1 1016 ion/cm2 due to the irradiation-induced lattice damage. Furthermore, at the highest fluence (5 1016 ions/cm2), the dominancy of (400) is lost and the crystal structure is reoriented to (440) alignment. The low energy ion irradiation has caused a mitigation in thin film transmittance by 25% compared to unirradiated sample. A decrease in the 1LO mode observed from Raman spectroscopy accounts for the formation of Ni vacancy defects at the highest fluence. Ion beam irradiation is seen to tune the material bandgap. The observed reduction in bandgap with an increase in ion fluence can be correlated to the formation of shallow levels near the conduction band of the host material with ion fluence. Bigger grains of pristine NiO thin film are broken into smaller fragments at fluences 5 1015 and 1 1016 ions/cm2. AFM analysis revealed the smoothening of thin film surfaces due to the atomic diffusion arising from ion beam irradiation. The correlated results from structural and morphological analysis support the deposition of subsequent amounts of energy to the lattice and the consequent modifications in the thin film properties. NiO films can thus be tailored with different ion fluences, making them suitable for optical as well as energy storage applications. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
Comparison of cultivated Cordyceps militaris and wild Ophiocordyceps sinensis using high-performance thin-layer chromatography
Cordyceps, a fungus from the Clavicipitaceae family, has long been utilised in traditional Chinese medicine as a rare and prized mushroom. Among 750 known species, two noteworthy species within the genus are Ophiocordyceps sinensis and Cordyceps militaris. Among the active components generated by this genus, cordycepin and adenosine are particularly significant and exhibit various pharmacological properties. To evaluate and compare the concentrations of cordycepin and adenosine, high-performance thin-layer chromatography profiling was employed on lab-grown C. militaris and wild O. sinensis. Water and ethanol were utilised to extract the nucleosides. The concentrations of these nucleosides from different samples were calculated by using Rf (Retention factor) values of both cordycepin and adenosine standards. Interestingly, the fruiting bodies of C. militaris obtained through solid-state fermentation exhibited a higher cordycepin content (12.3 mg/g) compared to biomass obtained via liquid static culture. In the case of O. sinensis, cordycepin was found to be absent, with only adenosine (approximately 0.81 mg/g) being quantified. 2024 World Researchers Associations. All rights reserved. -
Phytogenic synthesis and antimicrobial activity of ZnO nano bow ties (ZnO NBTs): An experimental and computational study
Phytogenic synthesis is a sustainable and eco-friendly approach for producing nanoscale particles, using biological entities such as plants and their byproducts. In this study, Allium sativum extract was selected as a capping and reducing agent due to the presence of phytochemicals such as allicin, diallyl disulfide (DADS), vinyl dithiins, ajoene (E- and Z-ajoene), diallyl trisulfide (DATS), and thiol (sulfhydryl) groups. The resulting ZnO Nano Bow Ties (ZnO NBTs) were characterized using FE-SEM, XRD, EDX, DLS, zeta potential, FTIR, and UV-Vis spectroscopy to evaluate the size, morphology, and crystallinity. The obtained XRD, SEM, and DLS results suggested an average longitudinal length of ?372 nm with a maximum lateral width of ?64 nm and a Bow Tie shape. Gas Chromatography-Mass Spectroscopy (GC-MS) analysis was employed to elucidate the prominent phytochemical constituents of the Allium sativum extract. Preliminary antibacterial assays reveal significant inhibition zones and growth inhibition effects against gram-negative bacteria of both Klebsiella pneumoniae and Escherichia coli, suggesting the promising antimicrobial potential of these ZnO NBTs. Monte Carlo simulations revealed that the cone-shaped ZnO NBTs bind strongly to the active sites of the target proteins with binding affinities of ?36.20 and ?32.14 kcal/mol for Klebsiella pneumoniae and Escherichia coli respectively, which correlates with their activities. The ZnO NBTs complexes formed stronger hydrophobic interactions and hydrogen bonds with amino acid residues of Escherichia coli than with Klebsiella pneumoniae. This integrated experimental and computational study underscores the potential of the use of ZnO NBTs as a sustainable and effective strategy to combat bacterial pathogens. The findings of this study indicate that efficient morphology (shape) is a major contributor to the protein binding affinities of ZnO NBTs, with promising implications for the design of antibacterial drugs in nanomedicine. 2024 The Authors -
Optimizing malachite green adsorption with Co-PTC metal organic framework: Insights into mechanisms and performance
The removal of organic pollutants from aqueous environments has garnered significant attention in environmental science and engineering. Metal-organic frameworks (MOFs) have emerged as promising materials for this purpose due to their intriguing structures, high surface area, and perpetual porosity. In this study, we investigate the adsorption performance of Co-based MOF for the removal of malachite green (MG), a common organic dye pollutant. The MOF, abbreviated as Co-PTC is synthesized via a one-pot green approach using perylene-3,4,9,10-tetracarboxylic dianhydride (PTC) as the ligand at room temperature. Basic to advanced characterization techniques are employed to elucidate the structure and interactions within the MOF. Through a comprehensive analysis, the underlying mechanisms governing the adsorption process are explored, and optimization studies have been carried out. Co-PTC in minute amounts exhibits an adsorption capacity of 79.3 % selectively for MG in 50 min. The kinetics and isotherm models governing the adsorption process are well investigated. 2024 Elsevier B.V. -
Championing inclusion: Understanding lgbt diversity and social support in the workplace
Purpose : This study investigated the impact of LGBT diversity management practices on the acceptance of LGBT employees by non-LGBT peers in Indian organizations. Based on classical social support theory and signaling theory, the study focused on how social support from co-workers and supervisors influenced this relationship. Methodology : Data were collected by surveying 546 employees across nine tech parks in the Indian IT/ITES sector. Partial Least Square (PLS) predictions and structural equation modeling (SEM) were conducted using Smart PLS version 4. Mediation and moderation analyses were also performed. Findings : The results exhibited that LGBT diversity management positively affected the acceptance of LGBT peers in the workplace (? = 0.298; t = 6.314; p = 0.00). Supervisor support was a complementary mediator (VAF = 0.33), while co-worker support moderated the association (? = 0.514; t = 15.916; p = 0.00). Practical Implications : The study presented managerial acumen regarding how social support from supervisors and co-workers enriched the efficacy of diversity management approaches. These outcomes were predominantly pertinent for organizations considering adopting an all-encompassing place of work for LGBT employees. Originality : This investigation delivered a distinctive offering by inspecting the role of social support in LGBT diversity management among the Indian IT segment. While based in Bengaluru, the study encouraged further investigation into additional businesses and geographies. 2024, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
Artificial Intelligence Technique Based Effective Disaster Recovery Framework to Provide Longer Time Connectivity in Mobile Ad-hoc Networks
Communication plays a vital role for effective management and for the execution of disaster response and emergency recovery efforts must be able to exchange information with each other from anywhere, at any time to successfully fulfill their missions. Therefore, it is important to configure emergency communications networks in disaster conditions using ad-hoc networks. This proposed framework collects the information and communication before or after a disaster. The aim of this research work is to propose a possible practical communication model by using ad-hoc network configuration technologies using Greedy Randomized Adaptive Search Procedure (GRASP) with the proposed algorithm. The development of this research work is to improve information exchange and facilitate coordination among emergency services and disaster field offices, state/level entities and private industry. This is accomplished by the integration of existing information systems, implementation of new efficient technologies and interconnection of established networks with artificial based techniques. IJCESEN. -
MMOF: A Multi-Metric Objective Function for Congestion Detection Under Varying Transmission Ranges in RPL-Based WSN
The Routing Protocol for Low Power Lossy Networks (RPL) is prone to congestion under high traffic. The single-path routing strategy and single-parent selection make RPL energy and resource-efficient only when the traffic is low and uniform. Two Objective Functions (OFs) are defined for RPL, which use single routing metrics-Expected Transmission Count (ETX) and hop count, to select the best parent and path toward the root. However, considering a single metric for OFs is unsuitable for detecting congestion in Lossy Networks (LLNs) applications as each metric has limitations. The current study proposes a novel Multi-Metric Objective Function (MMOF) that combines these two metrics and removes the weakness of the existing OFs. The proposed MMOF works under the nodes' varying transmission ranges (Tx ranges) to reduce the congestion. By changing Tx ranges, we show that the congestion in a fixed topology RPL network reduces, and MMOF can detect this congestion state more accurately than the existing OFs. The research introduces a successful transmission probability metric that makes MMOF more efficient in detecting congestion than ETX and Hop-Count. We prove that considering these two parameters individually is misleading and cannot contribute 100% to detect congestion state. Increasing transmission range can decrease congestion, and MMOF can detect this state transition with 100% accuracy. Simulation results in Cooja show that MMOF outperforms these two metrics and that the robust metric shows a linear relationship with the Tx range. Finally, two quality of service (QoS) parameters are derived to prove the method's efficiency and novelty. The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2024. -
Evaluation of morpho-cellular and spectroscopic characteristics of Myristica fragrans Houtt mace across three different maturation stages (juvenile, raw and ripe)
This study was based on comprehensive analysis of Myristica fragrans Houtt mace samples across various stages of maturation (juvenile, raw and ripe). The anatomical analysis was performed using SEM coupled EDX spectroscopy that revealed distinct cellular changes and the presence of oil-storage structures in the mace. The EDX analysis further confirmed the presence of key elements such as carbon (C), oxygen (O) and potassium (K) which contribute to mace's pharmacological properties. Spectrophotometric analysis revealed a steady increase in chlorophyll content as the mace matures, with total chlorophyll content rising from 1.02 during the juvenile stage to 1.25 at the raw stage and reaching 3.29 at the ripe stage. The Plant Senescence Reflectance Index (PSRI) shows a rise in carotenoid content, increasing from 0.15 in the juvenile stage to 0.17 at the raw stage and reaching 0.82 at the ripe stage. This increase correlates with the mace's colour transformation to crimson red during ripening. The FTIR spectroscopy analysis provided a detailed chemical characterization of the mace, identified various functional groups (carboxylic acid, aldehyde, alkanes, azides) and organic molecules. The presence of multiple functional groups across the maturation stages suggested a complex composition that likely contributes to the mace's sensory and pharmacological qualities. 2024 World Researchers Associations. All rights reserved. -
Performance evaluation and sustainability analysis of geopolymer concrete developed with ground granulated blast furnace slag and sugarcane bagasse ash
This experimental work aims to determine the workability, strength and sustainability aspects of geopolymer concrete developed with GGBS and SCBA in five different proportions of 100-0%, 95 ? 5%, 90 ? 10%, 85 ? 15%and 80 ? 20%. 8M NaOH concentration and Na2SiO3 solutions are used as an alkaline activator in mixes developed. Na2SiO3 to NaOH ratio of 2.5 and 0.5 alkaline liquid to binder ratio is employed in this study to develop ambient cured geopolymer concrete. The results show that the standard consistency and FST of geopolymer paste increases with an increase in the SCBA content of mixes developed. Cs, Sts and Fs decreased with an increase in the content of SCBA in geopolymer concrete mixes. The 28 days Cs of geopolymer concrete developed under ambient cured condition varied from 63.56 to 39.59MPa. Regression analysis was performed to find the correlation between Sts and Fs to Cs. This study aims to outline a unique technique of utilizing an agro industrial waste by product i.e., sugarcane bagasse ash which in turn reduces disposal problem to some extent. According to the test findings, Sugarcane bagasse ash up to 20% can be used as precursor to develop sustainable geopolymer concrete. Due to the high cost of chemicals and river sand the cost of geopolymer concrete developed is slightly higher than normal concrete. Also, as the percentage of SCBA increase in the geopolymer concrete the demand for energy is reduced. Additionally, incorporation of sugarcane bagasse ash will also reduce disposal problems and reduces CO2 emissions into the atmosphere. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. -
Modified Montmorillonite Catalysed Ultrasonic Assisted one-pot Synthesis of Novel 2,3-dihydroisoxazolo[5,4-d] pyrimidin-4(7H)-ones as Potential Anticancer Agents
The development of novel compounds with potential anticancer activity is imperative for combating the challenges posed by cancer. In this study, a modified montmorillonite based catalyst is employed for the synthesis of 2,3-dihydroisoxazolo[5,4-d] pyrimidin-4(7H)-ones, which are promising candidates for anticancer agents. Montmorillonite is modified using mixed metal oxides, typically Al2O3 and CeO2, by a facile approach followed by standard spectroscopic and electron microscopic characterizations. It is then employed for the one-pot synthesis of a series of 2,3-dihydroisoxazolo[5,4-d] pyrimidin-4(7H)-ones. The synthesis protocol, mediated by ultrasound, is simple, efficient, and environment friendly. The mixed metal oxide pillared montmorillonite catalyst exhibits high catalytic activity and selectivity, facilitating the formation of the desired compounds in good to excellent yields. The synthesized compounds are characterized using various spectroscopic techniques such as 1H NMR, 13C NMR and mass spectrometry. Furthermore, the anticancer activity of the synthesized compounds is evaluated against a series of cancer cell lines, revealing promising cytotoxic effects. The findings of this study highlight the potential of novel 2,3-dihydroisoxazolo[5,4-d] pyrimidin-4(7H)-ones as promising anticancer agent, warranting further investigation for their therapeutic potential. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024. -
Peers, Parents and Families as agents of influence on adolescents perspectives towards people with Mental Health Problems: Mental Health Professionals Views
Purpose: This study aims to explore mental health professionals views on adolescent attitudes towards their peers with mental health problems and the influence of parental, familial and societal environments on these attitudes. Design/methodology/approach: A qualitative research design was used. Semi-structured interviews were conducted with seventeen mental health professionals in Bangalore, India, with at least two years of experience working with adolescents. Thematic analysis was used to analyze the interview data. Findings: Mental health professionals reported diverse adolescent attitudes towards peers with mental health issues, ranging from support to bullying and exclusion. Family dynamics, peer influence and societal stigma were identified as significant factors shaping these attitudes. Research limitations/implications: The remote interviews during the pandemic limited access to non-verbal cues and work settings. The study focused on professionals' views from Bangalore, not capturing the diverse needs of adolescents across India. Additionally, practitioners from urban settings might not represent the challenges of their rural counterparts. The high concentration of female participants hinders generalisability. Variable interview lengths and participant openness might introduce bias, likely influenced by experience and views on mental health awareness. Practical implications: The findings underscore that adolescents' views on peer mental health are crucial for mental health professionals to design targeted interventions and support systems. Implementing programs that raise mental health awareness and reduce stigma can benefit schools and communities. Social implications: This study highlights the necessity of a holistic strategy to tackle adolescent mental health. Creating supportive peer environments, encouraging open family communication, and combating societal stigma can foster a more inclusive and mentally healthy society for adolescents. Originality/value: This study contributes to the growing body of research on adolescent mental health by providing insights into professionals views of peer attitudes. It highlights the need for interventions addressing family stigma, promoting open communication and using social media for awareness. 2024, Emerald Publishing Limited. -
ON BLOCK-RELATED DERIVED GRAPHS
This paper introduces and analyses the block-degree of a vertex and the cut-degree of a block. The block-degree of a vertex v is the number of blocks containing v. The cut-degree of a block b is the number of cut vertices of G contained in b. The block-degree sequence of cut vertices of the graph and the cut-degree sequence of the graph are defined. A few characterizations of the block-degree and cut-degree sequence of the graph are established. Given a graph, its block graph (B(G)) is a graph where each vertex represents a block, and two vertices are connected if their blocks intersect. The number of cut vertices of B(G) is determined. Further, an investigation is carried out on the traversability of B(G). A block cutpoint graph (BC(G)) of a graph represents a graph where each vertex corresponds to either a block or a cut vertex, and two vertices are connected if one represents a block and the other represents a cut vertex contained within that block. The properties of BC(G) and its iterations are studied. The graph G for which BC(G) is a perfect m-ary tree is characterized. 2024, Canadian University of Dubai. All rights reserved. -
Experimental and finite element studies on the mechanical properties of high-strength concrete using natural zeolite and additives
Addressing high carbon footprints is a critical global problem in cement production. Using environmentally friendly materials has proven to be a solution to environmental challenges. In this study, High-Strength Concrete of M60 is produced with Natural Zeolite and industrial waste materials. The combinations of 5 % zeolite and varying percentages of industrial wastes such as Silica Fume, Metakaolin, and Fly Ash are tested for mechanical properties. The laboratory test data is compared with numerical simulations to assess the accuracy and determine the error percentage for concrete strength predictions. The process involves the development of numerical solutions by ANSYS to predict strength. The developed numerical solution determines the accuracy of identifying the difference between the experimental and numerical data. The present research on the comparison of experimental and numerical data by ANSYS showed the lowest error percentage, which is acceptable for all the strength properties of concrete. 2024 -
Sensory processing sensitivity in relation to coping strategies: exploring the mediating role of depression, anxiety and stress
Existing research on sensory processing sensitivity (SPS) focuses majorly on populations involving children, those with Autism Spectrum Disorder, and those belonging to the Western countries. This study aims to contribute in bridging this gap by exploring the mediating role of Depression, Anxiety, Stress on the relationship between SPS and coping strategies in the general population, while also assessing the prevalence of these variables. Data was collected from a convenience sample of 107 participants (mean age = 20.6years, 57.9% females). Participants responses were recorded for the Highly Sensitive Person Scale (HSPS), the Depression, Anxiety, Stress Scale (DASS-21), and the Coping Strategies Inventory-Short Form (CSI-SF). Correlational and mediation analyses of SPS, coping strategies and Depression, Anxiety and Stress were done. In the sample, 31.78% of individuals were found to be Highly Sensitive Persons (HSPs). The findings revealed significant relationships between SPS, Depression, Anxiety, Stress and coping strategies. Depression and Anxiety were observed to be significant mediators. While SPS as a trait may not be inherently modifiable, our results on its association with emotion-focused disengagement coping provide insight into target dysfunctional patterns for effective management of depression, stress, and anxiety. Further research is warranted to enhance the applicability of this study. The Author(s) 2024. -
DOES COVID-19 AFFECT SHARIAH COMPLIANT STOCK? EVIDENCE FROM SELECTED OIC COUNTRIES
This study aims to examine the movements of Islamic stock markets in ten selected OIC (Organization of Islamic Cooperation) countries in relation to Covid-19 cases, providing a comprehensive analysis of market behavior during the pandemic. The countries-Saudi Arabia, Pakistan, Bangladesh, Turkey, Indonesia, Oman, Qatar, UAE, Kuwait, and Bahrain-were chosen based on their large Muslim populations. Data was collected over a one-year period from January 1, 2020, to January 31, 2021, analyzing the relationship between Covid-19 cases and Islamic stock market indices. The study employed co-integration tests to identify long-term relationships and the Vector Error Correction Model (VECM) to explore short-run dynamics. The co-integration test results show a significant long-run relationship between Covid-19 cases and Islamic stock markets in most of the selected OIC countries. Specifically, the Shariah indices in Pakistan, Bangladesh, Turkey, Qatar, UAE, Kuwait, and Bahrain have a positive and significant relationship with Covid-19 cases. Conversely, Saudi Arabia, Indonesia, and Oman exhibit a negative long-term relationship with Covid-19 cases, suggesting a different market response. These results suggest that countries with diversified economies, particularly those relying on natural resources such as oil and agriculture, were more resilient during the pandemic. This study provides novel insights into the unique responses of Islamic stock markets in OIC countries during the pandemic, highlighting regional differences in market behavior and recovery. It suggests that despite the global economic downturn, OIC countries present attractive investment opportunities, particularly due to their swift recovery and resource-based economies, offering a robust portfolio for investors during crises. 2024 by the author(s). -
Agricultural waste valorisation Novel Areca catechu L. residue blended with PVA-Chitosan for removal of chromium (VI) from water Characterization, kinetics, and isotherm studies
Arecanut, an industrial crop prevalent in tropical regions such as India, Sri Lanka, and parts of Southeast Asia, generates significant agricultural waste during processing. This study explores a waste-to-wealth approach by incorporating arecanut organic residue into Polyvinyl alcohol (PVA) - Chitosan blends via an eco-friendly continuous stirring method to develop an adsorbent film for removing chromium (VI) from water. Morphological analyses confirmed enhanced surface area, porosity, and roughness in the blended films. XRD and FTIR analyses indicated a semi-crystalline nature with a decrease in the characteristic peak intensity of PVA and chitosan, confirming the incorporation of arecanut residue. Optimal conditions identified OR-4 film, using 0.4 g of adsorbent, achieving 88.68 % removal of 173 mg/L chromium (VI) at pH 9.0, within 45 minutes at 40C. SEM images demonstrated significant surface roughness reduction before and after adsorption, confirming chromium adsorption. Kinetic studies revealed a pseudo-second-order model and adsorption isotherms confirmed film surface heterogeneity. This research advances eco-friendly materials for water purification and offers a sustainable solution for managing agricultural residues. 2024 Elsevier B.V. -
Design requirements of a spectropolarimeter for solar extreme-ultraviolet observations and characterization of a K-mirror based on Brewster's angle
Measuring the linear polarization signal in extreme-ultraviolet (EUV) spectral lines, produced by the Hanle effect, offers a promising technique for studying magnetic fields in the solar corona. The required signal-to-noise ratio for detecting the Hanle polarization signals is on the order of 101 (off-limb) to 106 (disk center). Measuring such low signals in the photon starved observations demands highly efficient instruments. In this paper, we present the design of an instrument, SpectroPOLarimeter for Extreme-ultraviolet Observations (SPOLEO), which utilizes reflective components with suitable mirror coatings and thicknesses to minimize the throughput losses. We analyze the system performance within the spectral range from 740 to 800 The K-mirror-based polarimeter model provides a polarizing power of 20%40% in this wavelength range. Based on the system throughput and polarizing power, we discuss various possibilities for achieving the required signal-to-noise ratio, along with their limitations. Due to lack of facilities for fabrication and testing in the EUV, we have calibrated a prototype of the reflection-based polarimeter setup in the laboratory at the visible wavelength of 700 nm. 2024 Optica Publishing Group. -
WSETO: wild stock exchange trading optimization algorithm enabled routing for NB-IoT tracking system
The Narrowband Internet of Things (NB-IoT) communication plays a significant role in the IoT due to the capability of generating broad exploration with the usage of limited power. Over the past few years, the Low Power Wide Area Networks (LPWAN) have been efficient in the data acquisition and remote monitoring area however they failed to generate high data rates, low latency, and the consumption of low power. To solve these problems, NB-IoT technology has developed in long-term asset tracking and it replaces the Global Positioning System (GPS) with its ubiquitous coverage. In this research, the Wild Stock Exchange Trading Optimization technique (WSETO) is proposed for a routing-based NB-IoT tracking system. The WSETO is the combination of the Wild Geese Algorithm (WGA) and SETO. By employing WSETO, the routing to the relevant target location is established effectively. The existing techniques like Low Power Asset Tracking of NB-IoT (LoPATraN), Monitoring system based on NB-IoT and BeiDou System/GPS (BDS/GPS), and Narrowband Physical Uplink Shared Channel (NPUSCH) are used to compare the WSETO approach. In rounds with a value of 2000, the WSETO demonstrates a superior location error of 0.001 in comparison to existing methods such as LoPATraN, a monitoring system utilizing NB-IoT and BDS/GPS, as well as NPUSCH. Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.