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MONG: An extension to galaxy clusters
The presence of dark matter (DM), though well established by indirect evidence, is yet to be observed directly. Various DM detection experiments running for several years have yielded no positive results. In view of these negative results, we had earlier proposed alternate models by postulating a minimum gravitational field strength (minimum curvature) and a minimum acceleration. These postulates led to the modified Newtonian dynamics and modified Newtonian gravity (MONG). The observed flat rotation curves of galaxies were also accounted for through these postulates. Here, we extend these postulates to galaxy clusters and model the dynamical velocity-distance curve for a typical cluster such as the Virgo cluster. The radial velocities of galaxies in the Virgo cluster are also obtained through this model. Observations show an inconsistency in the Hubble flow at a mean cluster distance of 17 Mpc, which is expected in regions of high matter density. This decrease in velocity is predicted by our model of modified gravity (MONG). The radial velocity versus distance relation for galaxies in the Virgo cluster obtained using MONG is in agreement with observations. 2022 World Scientific Publishing Company. -
Monitoring and Controlling Data Through the Internet of Things (IOT) System: A Framework to Measure the Public Health
Associating and sharing information by means of the web between actual things, or 'things,' coordinated with sensors, programming, and different advances are known as the Internet of Things (IoT). In order to improve technology through IoT, there have been a number of important studies and investigations. This study exhibits how the Internet of Things might be utilized to screen wellbeing. In this research work, with the help of IoT based human wellbeing checking framework the information circulatory strain, beat rate, internal heat level, pulse, and other crucial signs are providing to the internet. The use of IoT for the human health monitoring system in later on future, need a very accurate assessment of risk and this is required to provide a long term information to the device. 2022 IEEE. -
Monitoring nyiragongo volcano using a federated cloud-based wireless sensor network
Current Nyiragongo Volcano observatory systems yield poor monitoring quality due to unpredictable dynamics of volcanic activities and limited sensing capability of existing sensors (seismometers, acoustic microphones, GPS, tilt-meter, optical thermal, and gas flux). The sensor node has limited processing capacity and memory. So if some tasks from the sensor nodes can be uploaded to the server of cloud computing then the battery life of the sensor nodes can be extended. The cloud computing can be used both for processing of aggregate query and storage of data. The two principal merits of this paper are the clear demonstration that the Cloud Computing model is a good fit with the dynamic computational requirements of Nyiragongo volcano monitoring and the novel optimization algorithm for seismic data routing. The proposed new model has been evaluated using Arduino-Atmega328 as hardware platform, Eucalyptus/Open Stack with Orchestra-Juju for Private Sensor Cloud connected to some famous public clouds such as Amazon EC2, ThingSpeak, SensorCloud and Pachube. 2017 IEEE. -
Monitoring the Development of the IoT Concept in Various Application Domains
For several decades, the concept and technology of combining actuators and sensors into a system to monitor and operate tangible structures distantly was understood and developed. Nevertheless, slightly over a decade back, the notion of the Internet of Things (IoT) emerged and was utilized to merge such techniques into a prevalent architecture. The study outlines and addresses IoT conceptual structures suggested as part of continuing standardization attempts, layout problems regarding IoT hardware and software parts, and delegates of IoT application domains like healthcare, smart cities, the farming industry, and nano-scale uses. The research verifies the argument that an agreement on the precise scope of the IoTs will likely be formed, as enabling innovation evolves and novel application domains have been presented. Current modifications, nevertheless, are a bit muted, and their variants on application domains have been distinct, with statistics and information technologies serving a significant part in the IoT environment. 2024 selection and editorial matter, Prof. (Dr.) Dorota Jelonek, Prof. (Dr.) Narendra Kumar, Prof. (Dr.) Mamta Chahar, Prof. (Dr.) Rusudan Kinkladze and Prof. (Dr.) Lilla Knop; individual chapters, the contributors. -
Monitoring the Virtual Realm: Ethical Dilemmas and Connotations in the Metaverse?Artificial Intelligence Connection
Skip to main content Taylor & Francis Group Logo T&F eBooks ? Search for keywords, authors, titles, ISBN Advanced Search About Us Subjects Browse Products Request a trial Librarian Resources What's New!! HomeComputer ScienceArtificial IntelligenceApplying Metaverse Technologies to Human-Computer Interaction for HealthcareMonitoring the Virtual Realm: Ethical Dilemmas and Connotations in the Metaverse?Artificial Intelligence Connection Monitoring the Virtual Realm: Ethical Dilemmas and Connotations in the Metaverse?Artificial Intelligence Connection Chapter Monitoring the Virtual Realm: Ethical Dilemmas and Connotations in the Metaverse?Artificial Intelligence Connection ByMeera Mathew Book Applying Metaverse Technologies to Human-Computer Interaction for Healthcare Edition1st Edition First Published2025 ImprintAuerbach Publications Pages18 eBook ISBN9781003491668 Share Share ABSTRACT The virtual world will be altered significantly as a result of the incorporation of metaverses into digital communication. Immersive, cooperative, and resilient 3D cybernetic environments that surpass conventional web surfing define the metaverse. Modern technology and dynamic forces that fortify the metaverse are what propel this advancement, since they allow its hybrid virtual-physical nature to be effortlessly integrated. The development and fulfilment of virtual world technologies require core capabilities including blockchain, artificial intelligence (AI), cloud computing, and 5G and 6G connection. Web3, which uses blockchain technology and smart contracts to create a decentralized, user-centric Internet, is all about the practical and geographical visibility of metaverses. Nonetheless, these ideas are connected to the broader evolution and do not conflict with one another. Because of its multiple functions, the metaverse may be used for a wide range of tasks. The gaming and entertainment sectors employ the metaverse in some of its most well-known uses. Users may enjoy a vibrant and imaginative setting in the metaverse where they can play games, watch films, go to concerts, etc. Because it may offer instructors and students a virtual environment where it is feasible to conduct training and experiments that cannot be experienced in the actual world owing to potential hazards or expenses, the metaverse can have various applications and consequences in the field of education. The metaverse will also benefit corporate growth, employee cooperation and communication, the creation of more realistic simulation models for urban development, process optimization, and many other areas. However, there are drawbacks to the metaverse as well. These include addictiveness, impairment of the ability of the mind to discriminate between actual reality and augmented or virtual reality, privacy protection, safeguarding people's digital identities, information confidentiality, and the requirement for sophisticated hardware and software infrastructure in order to receive, send, simulate, and process information in real time. The Indian Information Technology Act of 2000 and its implementing rules created India's current data protection system, which places requirements on businesses managing sensitive and personal data. Businesses must create organizational safeguards to protect data and get consent before processing any data. As the metaverse integrates more deeply into our digital world, a single legal framework is critical for managing the convergence of artificial intelligence and citizen privacy. In the light of newly introduced Indian Digital Personal Data Protection Act (DPDP Act) of 2023, data fiduciaries, data holders, and data processors have to be cautious of data collection and dissemination, and for this reason, metaverse app developers, app retainers, and app disseminators need special attention. Companies that employ moral artificial intelligence strategies are more prepared to navigate moral and societal traps associated with conducting business in the metaverse. 2025 selection and editorial matter, B. Sundaravadivazhagan, Balasubramaniam S, Pethuru Raj, and K. Shantha Kumari. -
Monoclinic Y2O3: Ce nanophosphors synthesized by wet chemical precipitation method
UV emitting nanophosphors draws attention from many researchers currently due to the diverse applications ranging from UV LEDs to phototherapy. The current work is an investigation of monoclinic yttrium oxide doped with cerium synthesized by means of wet chemical precipitation at low temperature (90 C). Raman analysis and TEM experiments confirmed the formation of monoclinic phase and XPS analysis proves the presence of Ce3+ energy levels. UV experiments delivered strong absorption in the short UV region and photoluminescence experiments demonstrated the material's capability to emit in the long UV region. Surface area measurements by BET analysis established the relationship between the BET surface area and luminescence intensity. This emission range is suitable for therapeutical application especially for skin diseases which further extends the scope of the work. 2023 Elsevier Ltd and Techna Group S.r.l. -
Monoclinic yttrium oxide quantum dots surface modified by biotin for bioimaging applications
Semiconductor nanoparticles or quantum dots are one of the central topics of interest in material science research due to its size dependent physical and chemical characteristics and applications in different areas from display to biomedical fields. This work reports the first-time synthesis of biotin functionalized monoclinic yttrium oxide quantum dots at low temperature and its application in live cell imaging. The presence of biotin was confirmed through FTIR measurements. HRTEM analysis confirmed the formation of small spherical quantum dots with an average size of 3.8 nm. Zeta potential measurements gave a negative surface charge of -26.9 mV confirming colloidal stability. The quantum dots show sharp absorption in the short UV region and PL experiments delivered defect related intense blue fluorescence emission. The material is nontoxic to both normal (L929) and cancer (MCF 7) cells and the live cell imaging experiments performed on MCF 7 cells show specific binding to the cells and presented bright fluorescence emission from the cells thus confirming the applicability of the material in both display industry and cancer cell imaging. 2023 Elsevier B.V. -
Monoclonal antibodies targeting the Erns protein of classical swine fever virus: application for virus detection
Classical swine fever (CSF), caused by the classical swine fever virus (CSFV; genus Pestivirus), is a highly transmissible disease in pigs that leads to severe economic losses for pig farmers worldwide. Early and accurate diagnosis of CSFV infections is crucial for effective containment of the disease, especially in endemic areas. In this study, the full-length viral protein Erns was successfully expressed in E. coli. The recombinant protein was purified using Ni-NTA affinity chromatography, and its antigenicity confirmed by western blot and indirect ELISA (iELISA) using CSFV-specific antiserum. The purified Erns protein was then used as an immunogen to generate murine hybridomas producing monoclonal antibodies (mAbs). A panel of 15 mAbs targeting this protein was characterized using iELISA and western blotting, for their ability to react with native antigens in cultures infected with CSFV. These mAbs have the potential to be used in the development of diagnostic tools, particularly for the detection and titration of virus-infected cultures through endpoint dilution assays. 2025 Elsevier B.V. -
Monopsonistic exploitation in contract farming: Articulating a strategy for grower cooperation
Contract farming has been considered a new hope to instil dynamism in third world agriculture. However, there remains serious concern whether small peasants will be able to benefit from this system since buyers may often be a single large or at most, few large corporations, a typical case of monopsony. In this paper we question the basis of the fears that are often raised in the literature. A clear analytical approach to understanding the (economic) meaning of monopsony helps us articulate a strategy for grower cooperation that could effectively deal with monopsony power in contract farming systems. Copyright 2007 John Wiley & Sons, Ltd. -
MOOCs: A disruptive teaching-learning process in interdisciplinary boundaries /
International Journal of Language & linguistics, Vol.1, Issue 2, pp.54-61, ISSN No: 2374-8869. -
Moral Hazard in Capital Market: A Comprehensive Study
Moral hazard was originally a term used only in the field of insurance, but it has since entered capital markets, changing incentives and increasing systemic risk. This literature review confronts how information asymmetries, governance risk, and implicit guarantees create opportunism for managers, investors, and institutions. A systematic review of the existing literature that is reflected in 51 peer- reviewed articles reveals four themes: amplification of risk, misalignment of incentives, ethical governance, and institutional design. The review also identifies three major gaps: the neglect of the investor side, lack of consideration for the Corporate Social Responsibility (CSR) framework, and lack of methodological innovation. This paper calls on researchers from various disciplines to examine moral hazard to better develop the literature and construct a more robust market. 2026 by IGI Global Scientific Publishing. -
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Moral Identity, Moral Emotions and Maladaptive Personality Traits Among Adolescents in South Korea by Doo Jong Kim
The rule of survival of the fittest often thwarted the leap towards holistic development. How does morality associate with personality in adolescent development? Drawing on the theories of Augusto Blasi and Gordon Allport, the present study took a morality-personality integrative approach to adolescent development and viewed moral identity centrality as an agentic drive for their holistic growth. It aimed to determine whether moral identity centrality, other-praising moral emotion, and personality dysfunction of maladaptive personality traits are coherent in predicting antisocial behaviour in a sample of 436 Korean adolescents (M = 15.71 years, SD = .70; female 48.4%). The present study set up three hypotheses in the structural relationship of research variables (i.e., moral identity centrality, other-praising moral emotion, personality dysfunction of maladaptive personality traits and antisocial behaviour). Hypothesis 1: Personality dysfunction of multiple maladaptive personality traits predicts antisocial behaviour. Hypothesis 2: Other-praising moral emotion and personality dysfunction mediate moral identity centrality and antisocial behaviour. Hypothesis 3: Sex does not make notable differences in the structural relationship of research variables. The study analyzed the data mainly through structural equation modelling (SEM). As a result, all hypotheses were accepted. First, four multiple maladaptive traits, i.e., negative affectivity, antagonism, disinhibition, and psychoticism, significantly predicted adolescents antisocial behaviour (and#946; = .791, p lt .001) (Hypothesis 1). Second, the modified structural model showed a serial multiple mediation effect of other-praising moral emotion and personality dysfunction between moral identity centrality and antisocial behaviour (Hypothesis 2). Third, multi-group analyses showed apparent coherence among research variables regardless of sex (Hypothesis 3). -
More insights into bar quenching: Multi-wavelength analysis of four barred galaxies
The underlying nature of the process of star formation quenching in the central regions of barred disc galaxies that is due to the action of stellar bar is not fully understood. We present a multi-wavelength study of four barred galaxies using the archival data from optical, ultraviolet, infrared, CO, and HI imaging data on star formation progression and stellar and gas distribution to better understand the process of bar quenching. We found that for three galaxies, the region between the nuclear or central sub-kiloparsec region and the end of the bar (bar region) is devoid of neutral and molecular hydrogen. While the detected neutral hydrogen is very negligible, we note that molecular hydrogen is present abundantly in the nuclear or central sub-kiloparsec regions of all four galaxies. The bar co-rotation radius is also devoid of recent star formation for three out of four galaxies. One galaxy shows significant molecular hydrogen along the bar, which might mean that the gas is still being funnelled to the centre by the action of the stellar bar. Significant star formation is also present along the bar co-rotation radius of this galaxy. The study presented here supports a scenario in which gas redistribution as a result of the action of stellar bar clears the bar region of fuel for further star formation and eventually leads to star formation quenching in the bar region. 2020 ESO. -
More Than Legacy: Stalins Political Formula That Keeps DMK on Top
Stalins mix of legacy, governance, and resistance seems to have struck the right chord with the TN electorate. -
More Than Skills: How Digital Competence and Partner Attitudes Shape Financial Resilience in Couples
In the rapidly digitizing financial landscape, the ability to effectively use digital tools has become essential for financial well-being. This study examines the impact of digital competence on financial resilience within dual-income married couples, adopting a dyadic perspective. Drawing on the Actor-Partner Interdependence Moderation Model(APIMoM), it studies both actor and partner effects of digital competence. As well as the moderating role of each partners attitude toward FinTech. Data was collected from 107 (214 individuals) working couples in Gurgaon, India. Covariance-Based Structural Equation Modeling using SmartPLS revealed that digital competence significantly influences both individuals and their partners financial resilience. Moreover, attitudes toward FinTech were found to moderate these relationships, strengthening the positive effects of digital competence. Notably, the husbands attitude had a stronger moderating impact on the wifes resilience than vice versa, indicating potential gender-based dynamics. The study marks the importance of addressing both digital skills and relational attributes in aiding household financial resilience. Practical implications suggest that digital literacy programs should consider couple-based interventions that target both digital competence and attitude change. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Morphological and Elemental Investigations on CoFeBO Thin Films Deposited by Pulsed Laser Deposition for Alkaline Water Oxidation: Charge Exchange Efficiency as the Prevailing Factor in Comparison with the Adsorption Process
Abstract: Mixed transition-metals oxide electrocatalysts have shown huge potential for electrochemical water oxidation due to their earth abundance, low cost and excellent electrocatalytic activity. Here we present CoFeBO coatings as oxygen evolution catalyst synthesized by Pulsed Laser Deposition (PLD) which provided flexibility to investigate the effect of morphology and structural transformation on the catalytic activity. As an unusual behaviour, nanomorphology of 3D-urchin-like particles assembled with crystallized CoFe2O4 nanowires, acquiring high surface area, displayed inferior performance as compared to coreshell particles with partially crystalline shell containing boron. The best electrochemical activity towards water oxidation in alkaline medium with an overpotential of 315 mV at 10 mA/cm2 along with a Tafel slope of 31.5 mV/dec was recorded with coreshell particle morphology. Systematic comparison with control samples highlighted the role of all the elements, with Co being the active element, boron prevents the complete oxidation of Co to form Co3+ active species (CoOOH), while Fe assists in reducing Co3+ to Co2+ so that these species are regenerated in the successive cycles. Thorough observation of results also indicates that the activity of the active sites play a dominating role in determining the performance of the electrocatalyst over the number of adsorption sites. The synthesized CoFeBO coatings displayed good stability and recyclability thereby showcasing potential for industrial applications. Graphic Abstract: [Figure not available: see fulltext.] 2021, The Author(s). -
Morphological Characterization of Selected Aliphatic and Aromatic Hydrocarbons.
In the last few years considerable interest has been aroused in the study of amorphous carbon. Amorphous carbon has a wide range of properties that are primarily controlled by the different bond hybridizations possible in such materials. This gives different properties like high strength, flexibility etc. Due to these properties, they are used in thin film technology and in nanoscale electronic devices. Films can range from those with high transparency and are hard and diamond-like, through to those which are opaque, soft and graphitic-like. Application areas include field emission cathodes, electronic devices, medical and optical coatings. Hence study of different carbon structures has been of great interest for many researchers. Several techniques have been used to study various sources of carbon. Hydrocarbons are the most abundant sources of carbon. The majority of hydrocarbons found, naturally occur in crude oil and the decomposition of these give hydrogen and carbon. Incomplete combustion of hydrocarbons leads to the production of polycyclic aromatic hydrocarbons. Hydrocarbon combustion therefore mainly have aromatic and aliphatic chains of carbon. Hydrocarbons are by far the most widespread precursors among carbon sources employed in the production of carbon nanotubes and carbon nanosphers. In the present study diesel soot, camphor soot and coal has been used as precursors for nanomaterials. Impurities in the samples can reduce efficiency of production. Mineral matter encompasses dissolved salts in the pore water and inorganic elements associated with the organic compounds, as well as crystalline and non-crystalline mineral particles. Quantitative analysis of minerals and other inorganics contributes to defining coal quality. Therefore a study on effects of bio and base leaching on coal samples are also done. XRD is one of the majorly used techniques to deduct the various structural parameters like interlayer spacing of crystalline (d002) structure, crystallites size (La, Lc), aromaticity (fa), number of layers of carbon atoms per aromatic lamellae(n). According to Scherrer, crystallite size varies inversely with peak width. Therefore it is a known fact that a broad hump in the spectrum indicates the presence of nano layers. These parameters are determined from the intensity profiles of the sample hydrocarbons. Also the structure of the hydrocarbon can be characterized using NMR and SEM EDS. 1H NMR spectra can yield structural information that allows classification of complex mixtures containing hundreds of aromatic, naphthenic, paraffinic, olefinic, and isoparaffinic compounds. SEM/EDS techniques allow both inorganic analysis of bulk materials and determination of chemistry and abundance of microscopic constituents. SEM analysis also gives us the size of nano particles formed in the sample. EDS allows one to identify what those particular elements are and their relative proportions. CHNS analysis gives the elemental composition of the samples. The study shows that the carbonaceous soot produced from combustion of diesel in engine show the presence of significant amount of carbon nanomaterials. The SEM micrographs indicate that nanoparticle present in diesel soot is clusters of carbon nanospheres. EDS analysis reveals the soot particles to be composed of primarily carbon and oxygen along with hydrogen. NMR spectrum of the soot reveals significant aliphatic component with predominance of methyl and methylene groups on ?and ?? positions to aromatic rings. Camphor soot XRD analysis shows presence of ordered layers of nanolayers and laso the presence of CNTs. The SEM micrographs of camphor show the presence of carbon nanostructures. The EDS analysis shows more of carbon and oxygen along with aluminium, silicon and potassium. Study of coal samples treated with biological leaching agents reveals that Penicillium spp (PE) treated sample is having more of a graphitic or ordered structure and the d002 spacing of this sample is 3.37 ?? which is close to graphite. XRD data of coal sample treated with base leaching agents confirms the turbostratic structure of coal. The SEM micrographs of the samples show that KN has more graphite like sheet structures. -
Morphology of interstellar medium using multi-wavelength obervations
The interstellar medium (ISM) is the matter that exists between the stars in a galactic system. The structure and composition of a galaxy can be understood by a study of the ISM. Our Galaxy is the only place where the observations of the ISM can be resolved and studied in great detail. There are various archived observations from space-based and ground based telescopes spanning a large region of the electromagnetic spectrum. Combining these different observations with one another will help to study the ISM on a large scale. We have compiled some such observations and analyzed the column density data, to study the ISM and make the database available to the scientific community for further investigations. The data was taken from papers published over a span of 60 years (1951 to 2010). The column densities in these papers were derived using different methods and observations from various telescopes operating in different wavelengths. We compiled these diverse data into a single catalogue and analysed the data. We studied the correlations between the line of sight gas and dust and reported new correlations not published before (APJS, 119(1), 8, 2012). We also studied the spatial distribution of the interstellar gas and dust and have estimated the corresponding exponential vertical scale heights. There also exists a wide range of photometric data from various telescopes which can be combined to cover a large range of wavelengths. We have made use of Galaxy Evolution Explorer (GALEX) photometric data in conjunction with Sloan Digital Sky Survey (SDSS) data to obtain the point sources observed by both missions. GALEX observed in two bands simultaneously, the far-ultraviolet (FUV: 1350 1750 and the near-ultraviolet (NUV: 1750 - 2750 , while SDSS observed in five bands u, g, r, i and z, with effective wavelengths ranging from 3551 to 8931 GALEX and SDSS together provide photometric data ranging from the far-ultraviolet to the near-infrared. -
Morphology of interstellar medium using multi-wavelength observations
The interstellar medium (ISM) is the matter that exists between the stars in a galactic system. The structure and composition of a galaxy can be understood by a study of the ISM. Our Galaxy is the only place where the observations of the ISM can be resolved and studied in great detail. There are various archived observations from space-based and ground-based telescopes spanning a large region of the electromagnetic spectrum. Combining these different observations with one another will help to study the ISM on a large scale.