Structure Of Medium Research Articles

One‐dimensional forward and inversion of direct current resistivity arrays: Introducing differential and integral arrays

AbstractTo enhance the vertical resolution of direct current resistivity method, this study introduces differential and integrating arrays and explains the basic principle and expression of apparent resistivity. Forward and inversion modelling in layered media was conducted to demonstrate the vertical resolution of these two arrays through several examples. The results indicate that the differential array has improved sensitivity and vertical resolution compared to other arrays for layered media structures. However, the integral and dipole–dipole arrays have the same resolution to the underground structures, which is inferior to the differential array.

Self-Assembly of a Perfluorinated Amphiphilic Cyanine Dye into Branched Tubular J-Aggregates.

The self-assembly process is governed by the individual constituents of molecules through precise non-covalent interactions. Amphiphilic cyanines are intriguing in supramolecular chemistry due to the large polarizability of their delocalized π-electron systems, their tuneable optical properties and their ability to form well-defined self-assembled structures in different media. Here we present the synthesis of a novel tetrahydroxy amphiphilic carbocyanine dye with perfluoro alkylated chains -(CH2)2-(CF2)5-CF3 as hydrophobic segments and aminoproanediol as hydrophilic segment. The target molecule was synthesized in a multi-step process, which illustrates the complexity and precision required to achieve the desired structure. This study focuses on the comparison of the influence of C8H17 and C8H4F13 tails and the effects of carboxylated and non-ionic aminopropanediol head groups as substituents on self-assembly of the TBC dye. Absorption and fluorescence measurements show similar spectroscopic properties to cyanine dyes studied previously. Cryogenic transmission electron microscopy (cryo-TEM) reveals formation of multiple supramolecular aggregates. As supramolecular assembly is very sensitive to sample preparation, multilamellar or multivesicular vesicles are obtained preferentially in vigorously vortexed solutions. Moreover, time-dependent tube formation was observed in gently mixed solutions. Thereby, we could follow the growing mechanism of the unprecedented Y-junctions of supramolecular tubes.

Numerical study of the dynamic aggregation behaviors of oil droplets in the porous filter media consisting of basalt particles

Porous granular media based on the gravity-driven principle have been proven to be efficient for the separation of oil-water emulsions. However, the complexity of the relevant parameters and the intricate structure of porous media pose great challenges to the design and optimization of the separation process. In this study, the dynamic behavior of oil droplets within the porous structure was numerically analyzed based on the Euler-Euler model and the coupling of the two-phase flow and level set method. The oil-water separation efficiency and droplet trajectory were analyzed under different conditions, considering the deformation of the droplets, kinetic viscosity, and interactions among the droplets. The simulation results show the real-time movement, aggregation, and detachment of oil droplets within the porous filter. The results are useful for understanding the demulsification in a microscopic perspective and provide theoretical guidance for designing more efficient oil-water separation systems.

Zines And Computational Publishing Practices

This paper explores the parallels between historical zine culture and contemporary DIY computational publishing practices, highlighting their roles as countercultural movements within their own right. Both mediums, from zines of the 1990s to personal homepages and feminist servers, provide spaces for identity formation, community building, and resistance against mainstream societal norms. Drawing on Stephen Duncombe's insights into zine culture, this research examines how these practices embody democratic, communal ideals and act as a rebuttal to mass consumerism and dominant media structures. The paper argues that personal homepages and web rings serve as digital analogues to zines, fostering participatory and grassroots networks and underscores the importance of these DIY practices in redefining production, labour, and the role of the individual within cultural and societal contexts, advocating for a more inclusive and participatory digital landscape. Through an examination of both zines and their digital counterparts, this research reveals their shared ethos of authenticity, creativity, and resistance.

Examining the Interconnectedness of State High Court Twitter

AbstractJudges are not the first political officials that come to mind when one considers the role of social media in modern politics. Following in the wake of some prominent judicial personalities adopting Twitter, however, a growing number of state high court judges have adopted and established more public personas on the platform. Judges use Twitter in substantively different ways than traditional elected officials (Curry and Fix 2019); however, little is understood about how the use of such social media platforms affects broader judicial networks. Recognizing that judges, like typical social media users, may aspire to expand their networks to build and appeal to broader audiences, we contend that active participation in judicial Twitterverse could yield personal and professional advantages. Here, we address a currently unexplored question: To what extent have judges formed a distinctive “judicial network,” on Twitter, and what discernible patterns present in these networks? Leveraging the unique structure of social media, we collect comprehensive network data on judging using Twitter and analyze what institutional and social factors impact greater power within the judicial network. We find that early adoption, electoral concerns, and connective links between judges all impact the strength of the judicial network, highlighting the complex motivations driving judicial Twitter engagement, and the significance of network building in judges’ social media strategies and its potential impact on career advancement.

Insights into corrosion behavior of Mg alloys containing long-period stacking ordered structure in chloride and sulfate media

Insights into corrosion behavior of Mg alloys containing long-period stacking ordered structure in chloride and sulfate media

Biomechanical and Physical Characteristics of Dental Dam Sheets Used for Absolute Isolation.

This study aimed to evaluate the mechanical and physical properties of dental dam sheets used for absolute isolation and to correlate the mechanical parameters with cost. Twenty-one dental dam sheets were tested: ALLPRIME; Madeitex; Sanctuary non-latex, Sanctuary latex black, green, and blue; Nic Tone blue and black; Mk Life; Elastidam; Bassi; Pribanic; Care; OK; MDC Dental; Keystone; Dura Dam; Flexidam; Sanctuary blue; Nic Tone blue; Ehros; and USE. The thicknesses of the dental dam sheets were measured using a digital micrometer (Mitutoyo). The dental dam sheets (n=15) were prepared by cutting the samples with dimensions of 80 × 10 mm with a 1.7 mm hole made at the center of each specimen, following the ISO 9001 standard. The specimens were tested using a universal testing machine (Emic) at a speed of 500 mm/min until rupture to calculate rupture force (RF, N), elongation (%), and ultimate tensile strength (UTS, MPa), their thickness (mm) was measured using a digital micrometer, and scanning electron microscopy and X-ray energy dispersive spectroscopy were performed to analyze the structure and composition. The radiopacity was measured using digital radiography. Thickness, UTS, RF, and elongation data were analyzed by one-way ANOVA and Tukey's test (α=0.05). The Flexidam dental dam had the largest thickness (0.5 mm), while Nic Tone had a median thickness of 0.3 mm; the RF value (41.3 N) was higher for the thicker dental dams. The other dental dams had RF values ranging from 19 to 30 N. The highest elongation was obtained for the non-latex Sanctuary dental dam (600 mm). The Bassi dental dam had the highest UTS value (15 MPa), and medium and small particles were observed in most of the gums. A loss of continuity was detected in the structure of Sanctuary green and blue media. The predominant elements in the sheets were carbon, magnesium, sulfur, silicon, and calcium. The UTS, RF, and elongation varied substantially, indicating insufficient standardization of dental dam sheets. Nonetheless, most of the tested dental dams exhibited mechanical and physical properties suitable for clinical use. The correlation between the cost and mechanical properties of the dental dams was very low.

Evaluating the surface relaxivity and movable fluid of low-permeability sandstones based on low-field nuclear magnetic resonance

Comprehensive characterization of pore structure and fluid distribution is beneficial for efficiently exploring and developing low-permeability sandstone reservoirs. As a conversion parameter, the surface relaxivity is significant for characterizing the pore structure of porous media and evaluating fluid mobility. The surface relaxivity indicates the strength of the interaction between the fluid and the solid during the relaxation process. This paper conducts mercury intrusion porosimetry, low-temperature nitrogen adsorption, and nuclear magnetic resonance-centrifugation experiments on low-permeability sandstones, providing insight into the evolution of pore size and water content distribution. Combining mercury intrusion porosimetry with nuclear magnetic resonance, the surface relaxivity of samples is measured to be 9.57–23.79 μm/s. The surface relaxivity ranges from 0.70 to 3.72 μm/s utilizing low-temperature nitrogen adsorption and nuclear magnetic resonance. Based on the movable water saturation through the critical radius, the calculated surface relaxivities using two methods are compared. The result indicates that surface relaxivity determined by low-temperature nitrogen adsorption is smaller than that obtained through mercury intrusion porosimetry. This is attributed to overestimating the ratio of pore surface and pore volume in the low-temperature nitrogen adsorption, which is difficult to capture information about macropores. Conversely, the similar principle between mercury intrusion porosimetry and centrifugation leads to consistent movable water saturation, minimizing discrepancies in evaluating surface relaxivity. Therefore, the surface relaxivity determined by mercury intrusion porosimetry-nuclear magnetic resonance is more suitable for characterizing the pore structure and fluid mobility of low-permeability sandstones. In addition, the ink-bottle effect retains water in the macropore during centrifugation experiments.

Stereochemical tuning, post-synthesis crosslinking and quaternizing to tune the membrane performance of ultra-stable polyamine nanofiltration membranes

Solvent resistant and pH-stable nanofiltration membranes play a crucial role in solvent or water reuse across various industries, including pharma, chemical, dairy and mining, where stringent pH conditions and chemical stability are imperative. Previous research introduced a chlorine-resistant top-layer for nanofiltration membranes, using 1,2,4,5-tetra(bromomethyl)benzene and 1,2-diaminocyclohexane, with also exceptional stability at extreme pH values and a broad solvent resistance thanks to its crosslinked nature. To further optimize this remarkably stable and versatile membrane material, the unique property of 1,2-diaminocyclohexane, i.e. its stereochemistry, is employed here to manipulate membrane properties through diastereomerism and enantiomeric excess. Filtration experiments employing different 1,2-diaminocyclohexane isomers revealed significant variations in membrane performance, emphasizing the impact of stereochemistry on separation performance. Adjusting the enantiomeric excess of 1,2-diaminocyclohexane resulted in notable changes in membrane permeability and rejection, highlighting the general power of stereochemical control in membrane synthesis. Additionally, post-synthesis modifications, including further crosslinking and quaternization, allowed to tune the membrane structure and performance in both aqueous and solvent media, offering opportunities for optimization towards specific applications. SEM and XPS providing insights into membrane morphology and composition, confirmed the influence of stereochemistry and post-synthesis modifications on membrane properties. These findings demonstrate the efficacy of stereochemistry manipulation and post-synthesis techniques in tailoring pH-stable and solvent resistant nanofiltration membranes for specific applications, paving the way for advanced membrane design.

Making News Media Ownership Chains Transparent by Relational Databases

The multi-tiered shareholder identification and registration systems are dominant within the European Union member States, but in the Nordic countries, the holding structure is based on a direct holding model. Share registers of all listed companies are public, so basically, anyone may have a full outlook on the corporate ownership structure whenever they want.However, even the Nordic corporate governance model allows you to hide your ownership from public scrutiny by using other companies, most preferably unlisted ones, as intermediaries. The more complicated the chain of intermediaries, the more difficult it is to understand the ownership pattern and level of ownership concentration, which is especially important when evaluating the diversity and functioning of the news media markets.This is why maximum transparency requires not only public share registers but also a structural database, which has also been designed to show the full chain of direct and indirect ownership of each legal owner. This article analyses the relational database model developed for studying and presenting multilevel direct and indirect ownership structures of European news media in the first phase of the Euromedia Ownership Monitor project funded by the European Union.

Boosting the reconstruction performance of 3D Multi-porous media using double generative adversarial networks

With the continuous improvement of mathematical modeling technology, reconstructing the three-dimensional structure of media from two-dimensional reference images has become an important research method for the three-dimensional modeling of multi-porous media. Deep-learning-based methods are currently popular and form the focus of this research field. However, the performance of deep learning in reconstructing the three-dimensional structure of media from two-dimensional reference images still requires improvement. To enhance the diversity and generalization of network-generated three-dimensional models, this study proposed a preprocessing method that correlated two-dimensional reference images with Gaussian noise, a three-orthogonal random section constraint method, and a dual generative adversarial network (DGAN)-based model. Multiple sets of core samples, a set of building materials, and a set of battery-material samples were used to verify the performance of the proposed network. Both intuitive morphological and statistical feature comparisons showed that the DGAN model solved the problem of insufficient diversity and generalization when reconstructing three-dimensional porous media from a single image using deep-learning-based methods. The morphological and statistical features of the reconstructed three-dimensional structure also exhibited good consistency with the reference two-dimensional image, and the training efficiency of the network was greatly improved.

How U.S. Presidential elections strengthen global hate networks

Local or national politics can be a catalyst for potentially dangerous hate speech. But with a third of the world’s population eligible to vote in 2024 elections, we need an understanding of how individual-level hate multiplies up to the collective global scale. We show, based on the most recent U.S. presidential election, that offline events are associated with rapid adaptations of the global online hate universe that strengthens both its network-of-networks structure and the types of hate content that it collectively produces. Approximately 50 million accounts in hate communities are drawn closer to each other and to a broad mainstream of billions. The election triggered new hate content at scale around immigration, ethnicity, and antisemitism that aligns with conspiracy theories about Jewish-led replacement. Telegram acts as a key hardening agent; yet, it is overlooked by U.S. Congressional hearings and new E.U. legislation. Because the hate universe has remained robust since 2020, anti-hate messaging surrounding global events (e.g., upcoming elections or the war in Gaza) should pivot to blending multiple hate types while targeting previously untouched social media structures.

Modeling Rayleigh wave in viscoelastic media with constant Q model using fractional time derivatives

The propagation of seismic waves within the near-surface weathering layers, characterized by their low-quality factors (Q), is often accompanied by strong attenuation and dispersion phenomena. Among these, the Rayleigh wave, with its sensitivity to dispersion, has proven to be a powerful tool for near-surface exploration. We propose a novel approach for simulating Rayleigh wave propagation in such low-Q media. Our method uses the time-domain fractional wave equation with memory effect, based on Kjartansson's constant-Q (CQ) model, for accurate characterization of the propagation process. To solve numerically the wave equation with the fractional derivatives, we employ a finite-difference method combined with the auxiliary differential equation-perfectly matched layer (ADE-PML) and the acoustic-elastic boundary approach (AEA). The algorithm's high computational accuracy is verified through comparison with the conventional integer-order wave equation based on the nearly constant-Q (NCQ) models in strong attenuation media. The research in this paper deepens our understanding of the propagation characteristics of Rayleigh waves in strongly weathering layers. This new method strongly supports those seismic imaging and inversion methods depending on seismic modeling, including the reverse time migration and the full waveform inversion of the internal structure of low-Q media.

Dispersion and self-assembly of 2,5-dimercapto-1,3,4-thiadiazole (DMTD) functionalized silver QDs in 6 CHBT liquid crystal

ABSTRACT Silver nanoparticles were synthesised using silver nitrate and tri-sodium citrate and were functionalized with 2,5-Dimercapto-1,3,4-thiadiazole (DMTD) linking molecules. Functionalized silver nanoparticles dispersed within 4-(trans-4-n hexylcyclohexyl) isothiocyanatobenzoate (6CHBT) liquid crystal (LC) matrices have attracted significant attention because of their potential for tailoring tuneable surface plasmonic, optical, and electronic properties by controlling the self-assembly of silver dots. The unique combination of functionalized nanoparticles and 6CHBT LCs offers a versatile platform for manipulating interactions at the nanoscale. The dispersion of functionalized Ag nanoparticles within the LCs appears to substantially modify the plasmonic and opto-electronic properties of the Ag QDs. The formation and morphology of the self-assembled structures of silver nanoparticles were confirmed by Optical and Scanning Electron Microscopy. Optical microscopy (OM) and Scanning Electron Microscopy (SEM) images of Ag-doped 6CHBT confirmed the formation of nano-micro spheres, as well as ring and rod-like structures in LC media. We have used High-Resolution X-ray diffraction (HR-XRD), Fourier-Transform Infrared Spectroscopy (FTIR), Surface-Enhanced Raman Spectroscopy (SERS), Optical Microscopy (OM), Scanning Electron Microscopy (SEM), Ultraviolet-visible-near-infrared Spectroscopy (UV-Vis-NIR), and Fluorescence (FL) Spectroscopy. We calculated the electronic properties such as the bandgap of the synthesised Ag QDs and functionalized Ag QDs using UV-Vis-NIR and Tauc’s plot curves. Surface-enhanced Raman spectroscopy, Optical microscopy, SEM, and UV-Vis-NIR spectral data were used to correlate the properties of the LC and QDs hybrid systems.

Shelley’s Syns: Synesthetic Melting and the Media of the Unpremeditated

ABSTRACT This article attempts to locate Percy Bysshe Shelley’s conception of ethics in the poet’s figure of audiovisual synesthesia. For Shelley, I argue, the deployment of synesthesia in “To a Sky-Lark” signals an investment in the problematic of reading poetry—of what it means to hear the music of poetry by seeing words on the page—and, therefore, involves an engagement with the explosion of print that characterizes Romanticism’s media culture. Synesthesia, in other words, becomes a problem of mediation, and it is by linking synesthesia to questions of reading and print that Shelley is able to offer an account of the ethics of media. I seek, then, to trace the development of synesthesia as ethical medium in Shelley’s lyric thought, a synesthesia that neither exactly synthesizes aural and visual, nor signals a mere absence of their relation. The relation that synesthesia comes to typify for Shelley is the very structure of media itself, a structure that joins together at precisely the moment it separates, thereby registering a non-relation at the very heart of relation, or a non-relation that nonetheless relates. In doing so, I hope to position Shelley as one of the most rigorous ethical thinkers of his generation.

Analysis of Influencer Marketing on Social Media Platforms

Influencer marketing is a key factor of organisation advertising and marketing techniques, driven by the sizable use of social media platforms. This research was carried out to examine the determining factors and effect of influencer advertising and marketing on social media structures. We analyzed information accumulated from various social media channels to apprehend the impact of metrics together with likes, remarks, and stocks on logo communique. We additionally utilized social community evaluation to become aware of Key Opinion Leaders (KOLs) and carried out text and multimedia content analysis to delve deeper into the outcomes of content. The consequences display considerable differences in affect factors throughout systems, highlighting the need for tailor-made influencer advertising techniques. This take a look at contributes to the literature on influencer advertising and marketing and offers valuable insights for groups aiming to conduct centered social media advertising.

The Structural and Temporal Curb of Populism: A Cross-Country Analysis of Authoritarian Populist Influences on Journalism

ABSTRACT As right-wing authoritarian-populism becomes a defining feature of world politics, scholars increasingly acknowledge its challenging impacts on journalism. Focusing largely on the populist rhetoric, this interest leaves the structural influences of authoritarian-populism on the journalistic field across diverse contexts largely unexplored. By drawing on in-depth interviews (n = 83) with journalists in Austria, Slovenia, Hungary, and Turkey, and combining political-economic, institutional and temporal analysis of authoritarian-populism, we develop a structural approach towards authoritarian-populist influences on journalism. We discuss three structural forces that authoritarian-populists in power implement or instrumentalise to influence journalism in respective countries: the discriminatory use of institutional power to deepen the polarisation, the populist intervention into ownership structures of the news media, and the strategic use of digitalisation in journalism. We argue that authoritarian-populism is a process whereby the curb of populist structural forces increases over time as authoritarian-populist politics mature in power.

Numerical study on flow-boiling heat transfer in square channels partially centrally filled with gradient porous media

Boiling heat transfer is widely used in industry and daily life and can be enhanced by porous media structure. Previously HPM have been shown to significantly improve heat transfer performance, but how the porosity gradient affects boiling heat transfer remains unknown. In this paper, the subcooled flow boiling in vertical square channels partially filled with gradient porous media was numerically investigated by using a newly developed solver named GPMPhaseChangeFoam embedded in the open-source platform OpenFOAM. The results indicate that in positive GPM inserted channels, when z ≤ 0.16 m Nuz increases with increasing Hp*, and when z ≥ 0.16 m Nuz increases with increasing Hp* from 0.2 to 0.8 but deceases with Hp* rises from 0.8 to 1.0, and the effect of Hp* on Nuz is more pronounced in the entrance region over the exit region. In negative GPM inserted channels, Nuz increases with increasing Hp* throughout the channel length in positive GPM inserted channels, and the effect of Hp* on Nuz is less pronounced in the entrance region than the exit region. Flow resistance increases with Hp*, but changes little with Δε, and Nufd increases with Hp* in both positive and negative GPM inserted channels. However, Nufd decreases with an increase in ∆ε from 0 to 0.3 in positive GPM inserted channels, from -0.3 to 0 in negative GPM inserted channels, and ∆ε = -0.3 at Hp* = 1.0 is 13.4 % higher than that of ∆ε = 0.3. Furthermore, the negative GPM inserted channel behaves higher flow boiling heat transfer performance than the HPM and positive GPM.

Microwave reflective properties of amorphous nanogranular composites (CoTaNb)x(MgO)1-x

The most important task of flexible and stretchable electronics is to modify the structure in nanoheterogeneous metal-dielectric media to control the properties of materials and create new small-sized devices based on them. In this paper, we present the results of experimental studies of the structure and microwave reflective properties in the frequency range of 8–12 GHz of amorphous nanogranulated composites (CoTaNb)x(MgO)1−x, 21.73 ≤ x ≤ 73.27 at.% with a thickness of 311–1040 nm. Niobium and tantalum, which are part of the metal alloy, are the most promising metals used in aircraft and rocket engineering, as well as in radio electronics and microprocessor technology, for example, as capacitors. The AFM method revealed a granular structure with a granule size from 70 to 200 nm at a metal alloy content of up to 51.70 at.%. The spectra of the microwave reflectivity as a function of frequency, the dependence of the reflectivity on the metallic phase content and the effective thickness of the composite layer are obtained. It is shown that a significant increase in the microwave reflectivity and its saturation are determined to a greater extent by the metallic phase content than by the effective layer thickness. The results of the experimental effect of magnetic fields with induction up to 0.3 T on the microwave reflectivity of composite films are presented. It is shown that magnetic fields can most effectively change the reflective properties of composites (from 8 % to 29 %) at the extremes of the microwave reflectivity of films with the lowest metallic phase content of 22.61–21.73 at.%. With an increase in the metallic phase content, the maximum change in the microwave reflectivity decreases exponentially.

Green-synthesized Ag hierarchical assemblies for SERS detection of rhodamine dye

This study presents a simple benchtop synthetic protocol for the fabrication of silver (Ag) hierarchical structures in aqueous media using environmentally friendly and inexpensive reagents under mild experimental conditions. Natural organic acids that are known to be present in plants were employed as reducing and morphology-directing reagents. SEM and TEM imaging revealed that the products are three-dimensional hierarchical structures that were formed from self-assembly of smaller nanoparticles. They are generally spherical in shape, measure around 1.5 to 5 μm in size, and possess highly roughened surfaces due to the interstitial gaps between their nanoparticle subunits. Their hierarchical architecture allows for strong absorption of light in a broad range of wavelengths that extends to the near-infrared region. In addition, their surface morphology has an abundance of hot spot regions, which are capable of inducing strong SERS enhancement effects. The green-synthesized Ag nanostructures showed remarkable SERS activity when used as substrates for the detection of rhodamine 6G dye, a highly toxic water contaminant, even at a concentration as low as 10–8 M. Overall, this study does not only provide a greener approach to Ag hierarchical structures, but also demonstrates the immense potential of these nano-assembled architectures in the sensitive detection of organic dye pollutants.