Characteristics Of Medium Research Articles

Hydrodynamic Analysis of Flow Stabilization Process in a Miniature Circulating Water Channel Equipped with Combined Porous Plate Structures

As a foundational platform for fluid dynamics research on underwater devices, the quality of stable and uniform incoming flow in a circulating water channel (CWC) is essential. Due to the inherent structural characteristics of porous media, their application has become widespread in offshore and marine engineering. This study presents the design of a miniature circulating water channel, alongside the development of a computational fluid dynamics (CFD) numerical model to simulate the interaction between porous media and incoming flow. By analyzing the pressure loss of fluid within the porous plates and incorporating it as a source term in the momentum equation, heavy computational costs associated with fine mesh requirements in micro porous models were avoided. Simulations were conducted to investigate the effects of combined porous plates on the flow field, and the porous media model was validated by comparisons with experimental data. The distribution of the flow field within the channel was analyzed to define the test section, which was conducive to further structural optimization. The results indicated that the combined porous plates stabilized the flow field of the CWC, and, following structural optimization, the occurrence of backflow was reduced, thereby expanding the effective test section range.

Numerical experiments on hydrogen storage characterization in porous media using elastic full-waveform inversion

In recent years, underground hydrogen storage (UHS) has garnered significant attention as a concept for large-scale energy storage. Developing hydrogen characterization and monitoring methods specific to each target geologic formation (e.g., salt caverns, reservoirs in depleted oil/gas fields, and saline aquifers in porous media) is crucial for the safe operation of hydrogen storage. However, due to the limited number of actual operations and laboratory experiments (e.g., rock physics for hydrogen) related to UHS in porous media, the specifications required for seismic monitoring (e.g., P-/S-wave velocity and density changes generated by hydrogen injection) are not yet fully understood. A recent study showed the results of laboratory experiments on cyclic UHS in porous media. The experiments demonstrated that P-wave velocity decreases nonlinearly with increasing hydrogen saturation in sandstone specimens, with a reduction of up to 3.5% observed at 36% hydrogen saturation. This study presents hydrogen characterization in porous media with conditions similar to the experiment using elastic full-waveform inversion (FWI) for time-lapse surface seismic data. The shot data are generated by seismic forward modeling for several synthetic subsurface models that incorporate a hydrogen plume. The hydrogen plume assumes four velocity-density scenarios, partially based on the laboratory study results. Numerical experiments are conducted to explore the validity and challenges of hydrogen characterization using elastic FWI.

Enabling FEM-based absolute permeability estimation in giga-voxel porous media with a single GPU

The characterization of porous media via digital testing usually relies on intensive numerical computations that can be parallelized in GPUs. For absolute permeability estimation, Stokes flow simulations are carried out at the micro-structure to recover velocity fields that are used in upscaling with Darcy’s law. Digital models of samples can be obtained via micro-computed tomography (μCT) scans. As μCT data is three-dimensional, meshes grow cubically with image dimensions, causing the numerical problem at hand to become compute- and memory-bound as either resolution improves or larger fields-of-view are considered. While the usual focus is on accelerating solvers, memory usage continues to be a significant limitation for analyses of representative volumes in relatively accessible hardware. In this work, we explore the possibility of implementing MINRES solvers in GPU that favor a reduction in memory allocation. These solvers are applied to matrix-free FEM-based permeability characterization of μCT images. Our goal is to enable the study of 10003 voxel images in single GPU machines. Implementations that only require five, three, or two n-sized vectors of variables are presented, with n being the number of unknowns. Further, we employ a mesh numbering strategy that enables node-by-node massively parallel operations within a non-monolithic voxel-based pore space without storing connectivity tables. The proposed solvers, available through the open-source chfem software, are verified against analytical models for simple three-dimensional micro-structures, then are validated against numerical Digital Petrophysics benchmarks. A consumer-grade graphics card with 12GB of RAM is employed for the characterization of images with up to roughly 540 million voxels in a matter of tens of minutes. Stokes flow FEM-based simulations in meshes with 449 million degrees-of-freedom (DOFs) are carried out in 9 to 15 min, allocating less than 10GB in global memory. Finally, simulations on three 10003 carbon fiber domains, amounting to more than 3.7 billion DOFs, were run on a high-end GPU with 80GB of RAM in under 2.5 h, achieving very close agreement with flow-tube permeability experiments.

Assessment of wetting conditions in quasistatic drainage modeling using a pore morphology method and J-function wettability estimator

This study hypothesizes that a pore morphology method (PMM) can be used to accurately determine representative contact angles by effectively capturing fluid morphologies within porous media, thereby overcoming the challenges of accurate wettability characterization for porous materials. We introduce a methodology for the estimation of the wettability, along with measurements of capillary pressure and relative permeability, using a PMM. This approach employs morphological operations to model quasistatic drainage under different surface wetting conditions. To assess PMM, fluid morphologies resulting from the simulation were compared with experimentally derived geometric and thermodynamic contact angles, along with surface area, and Euler characteristic measurements. Based on fluid configurations under different wettability conditions, we find that PMM effectively captures realistic fluid morphologies. At lower capillary pressures, PMM exhibits superior adaptability to a wide range of wetting behaviors. However, at higher capillary pressures, PMM does not reflect the true morphologies of the fluid due to the interfaces that exist in the pendular state. The influence of these effects at higher capillary pressures introduces an inaccuracy in the simulated relative permeability of the wetting phase, though they do not affect the relative permeability of the nonwetting phase. Overall, these findings can significantly enhance the accuracy of wettability characterization in porous media, thereby advancing our understanding and prediction of fluid behavior in surface-based research of porous materials.

EXPRESS: Individual Sellers’ Social Media Participation and Sales Performance in Peer-to-Peer Marketplaces: Evidence from a Quasi-Natural Experiment

Recent advancements in communication and social technologies have resulted in the growth of peer-to-peer (P2P) marketplaces, such as Xianyu and Poshmark. Individual sellers in these markets, most of whom are unbranded and lack credibility, often face immense challenges in building trust to facilitate P2P transactions. We consider the potential of sellers’ use of social media to establish trust and drive sales. Specifically, we address whether social media use benefits the sales performance of individual sellers, and how social media use affects customer retention and acquisition. We draw on social capital theory to explore the theoretical mechanisms by which social media participation may affect sales, hypothesizing that such participation enables the seller to accumulate social capital and develop trust. We empirically test this by exploiting a quasi-natural experiment wherein a large P2P marketplace for second-hand goods (Xianyu) unexpectedly removed its social media feature (Fishponds). We employ a difference-in-differences design, leveraging a proprietary dataset capturing social media participation and sales activities for individual sellers, covering more than 180,000 transactions over a multi-week period around the event. We find that sellers who initially participated in social media channels experienced a significant decline in sales after the shutdown, which is attributable to poorer customer retention and acquisition. We explore heterogeneity in the effects and find that the sellers who benefit most from social media participation are those with the most to gain from trust-building. An additional online controlled experiment provides further evidence of the trust-building mechanism. Our study implies individual sellers can harness social media to generate additional sales from existing and new customers. These insights are important, as they speak to the value of social media channels as drivers of trust in P2P marketplaces.

Repurchase Intention in Mobile Augmented Reality Apps: Insights Through the Lenses of Theory of Interactive Media Effects

The research examines the factors influencing repurchase intention (RPI) of Mobile Augmented Reality (MAR) eyewear apps. The influence of media characteristics including perceived interactivity (PRI) and perceived augmentation (PAGM) on customer experience (CUSEXP) and RPI using the Theory of Interactive Media Effects (TIME) has been investigated. Research examined mediation of CUSEXP in PRI-RPI and PAGM-RPI as well as moderation of perceived risk (PR) in PAGM and CUSEXP relationship. The data was collected from 406 respondents using purposive sampling. The findings are: a) PRI and PAGM have a significant influence on RPI. b) PRI and PAGM have an influence on the CUSEXP. c) CUSEXP has a significant effect on RPI. d) PR acts as a moderator and it dampens the positive relationship between PAGM and CUSEXP. e) CUSEXP mediates the PRI-RPI and PAGM-RPI relationship. The mediation of CUSEXP in AR media characteristics and RPI relationship as well as the moderation of PR in PAGM and CUSEXP relationship is the novel contribution.

Research on adolescents' new media literacy and its cultivation

Emphasizing the cultivation of adolescents' new media literacy and their ability to respond to the new media environment is of great significance to the growth of young people. Adolescents can enhance their learning autonomy, broaden their horizons, and meet their personalized development needs by utilizing new media in their studies and daily lives; however, new media has certain adverse effects on the construction of a systematic knowledge system and the development of reading, learning, thinking, and critical abilities in adolescents. Based on the characteristics of new media, this article analyzes the pros and cons of new media's impact on adolescents and preliminarily discusses the cultivation of adolescents' new media literacy from multiple perspectives, including the nation, society, schools, teachers, parents, and students themselves.

Wave propagation in poroviscoelastic vertical transversely isotropic media: A sum-of-exponentials approximation for the simulation of fractional Biot-squirt equations

The presence of porous, viscoelastic, and anisotropic structures profoundly influences the propagation of seismic waves. Poroelasticity, based on the Biot-squirt (BISQ) theory, can characterize the impact of fluid flow on seismic waves. However, an improved mechanistic understanding and mathematical representation of seismic wave propagation in porous formations require the accounting of velocity and attenuation anisotropy. We derive the wave equations based on an efficient sum-of-exponentials (SOE) approximation by combining the porous BISQ equations with Kjartansson’s constant- Q dissipative model to describe seismic wave propagation in poroviscoelastic vertical transversely isotropic media. The approximation represents the fractional differential equations as an SOE, enabling a reduction in computational costs and storage compared with the traditional L2 scheme. Numerical examples prove that the extended BISQ model can describe the wave propagation characteristics in poroviscoelastic anisotropic media and effectively captures potentially strong, direction-dependent attenuation phenomena.

Preparation of DOX-TPP/HA-ss-OA Nanoparticles, Investigation of Drug Release Behavior In Vitro, and Evaluation of Anti-proliferative Activity In Vitro.

This study aimed to develop and characterize DOX-TPP/HA-ss-OA nanoparticles, utilizing the mitochondria-targeting prodrug doxorubicin-triphenylphosphine (DOXTPP) and a reduction-sensitive amphiphilic polymer, hyaluronic acid-disulfide-oleic acid (HAss- OA). The research focused on evaluating the drug release behavior of these nanoparticles under varying glutathione (GSH) concentrations and their anti-tumor activity in vitro. DOX-TPP/HA-ss-OA nanoparticles were prepared using probe ultrasound technology. The study examined the impact of different organic solvents on drug loading capacity and encapsulation efficiency to determine the optimal conditions. A single-factor experimental design was used to optimize the formulation process. Key parameters, including particle size and zeta potential, were measured to assess nanoparticle stability and performance. The dynamic dialysis method was employed to evaluate the reduction-sensitive drug release characteristics in media with different GSH concentrations. The MTT assay was used to analyze the growth-inhibitory effects of the nanoparticles on human breast cancer cells (MCF-7) and drug-resistant cells (MCF-7/ADR). The optimized preparation process for DOX-TPP/HA-ss-OA nanoparticles included a drug dosage of 2.0 mg, an oil-to-water volume ratio of 1:5, ultrasonic power of 500 W, and ultrasonic time of 15 minutes. The nanoparticles had an average particle size of 203.72 ± 2.30 nm and a zeta potential of 25.82 ± 0.58 mV, indicating favorable stability and effective drug delivery properties. The nanoparticles exhibited a slow, sustained release of DOX-TPP in pH 7.4 phosphate buffer solution (PBS) and accelerated release in high GSH concentrations, demonstrating reduction-responsive drug release. In vitro studies showed that DOX-TPP/HA-ss-OA nanoparticles significantly inhibited the proliferation of MCF-7 and MCF-7/ADR cells in a dosedependent manner, with enhanced efficacy compared to free DOX and other formulations. DOX-TPP/HA-ss-OA nanoparticles demonstrate excellent reduction sensitivity, effective tumor cell growth inhibition in vitro, and the ability to overcome drug resistance. Including particle size and zeta potential measurements supports their suitability as drug carriers, highlighting their potential for targeted cancer therapy and further development.

Media Arts Suspensions and Deviations - Paz dos Reis between Cinema and Photography

Media have non-linear evolutions. This means that new media failures or retractions can highlight overlooked features of old media. The very early history of Portuguese Cinema is one of those moments: the new and promising cinema technologies were first experimented and then discarded by Aurélio da Paz dos Reis, the pioneer of Portuguese cinema. Instead, he intensely explored in photography a solution for covering current affairs. The creation of the ‘Portuguese Stereoscope’, a commercial stereoscopic card series that depicted political events such as the agitated republic rallies, the social life of the bourgeoisie and the daily life in the streets of Porto, was an international innovation: it consisted of the very first photojournalism in 3D. This research project will investigate this historical fact by checking in the press the events covered by Paz dos Reis and by creating an online media art installation that will allow the matching of these materials with his stereos to understand how these 3D news materials relate to current VR 360º new videos. This digital curation will be developed as an artistic research method which will also allow to experiment with film materials: photograph the original Aurelio’s camera kept by the Portuguese Cinematheque (ANIM) to create a 3d object, and a documentary film focused on some of his most symbolic photographs. It is expected that this research project will lead to a new approach towards the work of Paz dos Reis.

Social Media Marketing Features and Empirical Studies in the Fast Food Industry Context: A Literature Review and a New Window for Future Promotion

The fast food industry is a major player in the global economy. In 2020, the global fast-food market size was $125.05 billion, and it is projected to reach $137.74 billion in 2021 and grow to $1,467.04 billion by 2028. Social media plays a significant role in promoting this industry due to its size. This study aimed to identify the features of social media marketing commonly used to promote products and services and to explore which of these features was tested in empirical studies in the fast-food industry. The study used a qualitative approach, analyzing existing literature. The results revealed that advertising, sales promotion, generated content (firm and user), and e-word of mouth are commonly used in social media marketing. However, only two of these features have been tested more extensively in the latest empirical studies of the fast-food industry. These were advertising and sales promotion. Thus, this study suggests that more empirical studies should be conducted to understand the effect of all social media marketing features on customer intention within the fast-food industry. It potentially opens new windows for industry promotion.

Media frames, AI romantic relationships, and the perspectives of people in relationships; mapping and comparing news media themes with user perspectives

ABSTRACT Human romantic relationships with artificially intelligent (AI) conversational agents and anthropomorphic computers have long been the realm of science fiction. As companies like Luka, Inc. are developing embodied conversational agents called Replika, people’s ability to engage in romantic relationships has garnered news coverage around the phenomenon. Because news is often a place where emerging technologies are first introduced, it is essential to understand the choice of topics and themes these stories focus on (e.g., the ethics of technological development, human desires and vulnerabilities, and what constitutes meaningful and authentic connection). Similarly, the extent to which these articles include user perspectives and how users respond to these frames is also less well understood. This article reports on a mixed-method study that combines content analysis of news articles in 2023 about Replika (1008 search results, n = 104 unique articles) and qualitative semi-structured interviews with users in romantic relationships with their Replika (n = 16), recruited from the Reddit forum ‘ILoveMyReplika.’ Through a frame analysis of these news stories and coding for the types of futures they present, this study first examines some of the key events, themes, and hopes/fears reported in mass media. A thematic analysis of the interview data offers a comparative study to see where there is some overlap between these hopes/fears and user experiences and places where user reports diverge, downplay, and dispute the media characterizations. These studies help us better understand the interrelationship between media narratives, technological frames, and moral panics around a unique subset of and relationship with AI technologies.

Modeling and calculation of ground penetrating radar detection on rough interface of soil media

Abstract Ground penetrating radar technology is an effective underground physical detection method. In order to better study the ground penetrating radar echo characteristics of complex soil media rough interfaces, a soil rough surface electromagnetic scattering model based on fractal rough surface geometry modeling and soil media dielectric properties modeling is established. The mixed soil characteristics including sand content, water content, clay content, and sand particle density are analyzed, and the radar echo image characteristic of soil rough media interfaces under different fractal dimensions is discussed.

Systematic insights into cell density-dependent transcriptional responses upon medium replacements

Understanding the molecular mechanisms governing transfection efficiency and particle secretion in high cell density cultures is critical to overcome the cell density effect upon transient gene expression. The effect of different conditioned media in HEK293 transcriptome at low and high cell density is explored. A systematic pair-wise comparative study was performed to shed light on the effect on previous phenotypical characteristics of different media conditions: fresh, exhausted and media depleted from extracellular vesicles (EVs) as well as associated proteins and RNAs. The obtained results suggest that restorative effects observed in transfection efficiency when employing EV-depleted media may arise predominantly from physicochemical alterations rather than cellular processes. A significant downregulation of genes associated with nucleocytoplasmic transport for the conditions involving the use of exhausted or EV-depleted media was observed. Moreover, upregulation of histone-related genes in EV-depleted media suggest a role for histone signaling in response to cellular stress or growth limitations, thereby highlighting the potential of manipulating histone levels as a promising strategy to enhance transient transfection. It was also corroborated that the accumulation of extracellular matrix proteins upon cell growth may inhibit transfection by an already-known competitive effect between cell membrane-bound and free proteoglycans. Proteomic characterization of EV-depleted media further unveiled enrichment of pathways associated with infection response and double-strand DNA breaks, suggesting that HEK293 cells undergo an induced infection-like state that disrupts cellular processes. Importantly, the study reveals that EV-depleted media stimulates virion release pathways underscoring the complex interplay between extracellular vesicles and viral budding.

빅데이터를 활용한 소셜미디어 기후변화 회의론 네트워크와 인플루언서 메시지 구조 분석: 사회연결망 분석과 의미연결망 분석의 적용

This study examines the information structure, message dissemination patterns, and influencer characteristics of social media users who spread climate change skepticism messages using social and semantic network analysis based on big data. Compared to a random network model, the climate skepticism network exhibits a small-world network structure, with messages led by climate change deniers spreading easily and quickly. The skepticism network is formed by a few large communities and a majority of smaller ones, with users tending to communicate strongly within their communities. The authority group in the network frequently raised conspiracy theories related to climate issues and highlighted farmer protests against Europe's Green Deal and carbon neutrality policies. The network's broadcaster group, on the other hand, tended to mock or criticize climate policy advocates in a harsh tone, often denying scientific evidence. The results can be used to inform the development of climate campaigns.

Physical and Chemical Properties of Media and Growth Characteristics of Three Species of Trees according to the Mixing Ratio of Quercus Bark

Physical and Chemical Properties of Media and Growth Characteristics of Three Species of Trees according to the Mixing Ratio of Quercus Bark

Evaluation of the Effects of Cultivar and Location on the Interaction of Lentil Seed Characteristics with Optimal Cooking Time

The most important product of the lentil crop (Lens culinaris Medik) is the seeds. The main seed characteristics are their size, color, and the cooking time required to make them edible. Cultivar, location of cultivation, and their interaction are the primary factors of raw or cooked seed characteristics. The study examined the impact of five different lentil cultivars (Dimitra, Elpida, Thessalia, Samos, and 03-24L), as influenced by the cultivation environment in four different zones or nine different locations in Central-Northern Greece, on cooking time. The optimal cooking time (OCT) was calculated by cooking the seeds for 0–60 min to determine the percentage of cooked seeds using the penetration test. OCT was associated with the characteristics of both raw (mass of 1000 seeds, external color, and the percentage of mature/immature seeds) and cooked (color and organoleptic characteristics of the cooking media as well as mass increase and hardness and organoleptic characteristics of the seeds) seeds for 30 min. Depending on location, each cultivar had a different mass of 1000 seeds; Elpida had the highest mass (63.9 g), and Dimitra had the lowest (33.1 g). This was linked to OCT, which was among the highest (57.5 min) for Elpida, lowest (49 min) for Dimitra, and intermediate for Thessalia, Samos, or 03-24L. The average OCT was 55.9 min for all samples. The seed from the five locations with the shortest OCT was considered appropriate for human consumption. Two locations yielded seeds with intermediate OCT, while the other two produced the highest OCT; these were recommended for processing or propagation. In this study, the cultivar factor had a greater effect on raw seed characteristics, while the location factor had a greater effect on cooked seed characteristics and OCT than either the location, the cultivar factor, or the cultivar x location interaction.

Social Media Characteristics and Consumers’ Online Brand-Related Activities (COBRAs): The Mediating Role of Time Spent and Emotional Connectedness

This paper explores the influence of different social media platforms’ characteristics for use intensity (i.e., time spent and emotional connectedness), which in turn partially affects the development of consumers’ online brand-related activities (COBRAs). Using a U.S.-based sample of 939 adult social media users, we tested three serial mediation models using partial least squares structural equation modeling. We find that different social media characteristics lead to different levels of time spent, emotional connectedness, and, ultimately, COBRAs. We show the superiority of using profile-based (vs. content-based) platforms in fostering COBRAs, despite its negative effect on use intensity. Also, using customized (vs. broadcast) messages boosts users’ time spent on social media, thus enhancing emotional connectedness to the platform. Notably, the time spent on a platform significantly affects COBRAs via the mediation effect of emotional connectedness. We contribute by exploring the role of platforms’ characteristics in developing COBRAs while unraveling how the two dimensions of use intensity influence brand-related activities on social media.

Research on the Optimization of Film Marketing Strategy by New Media

Combining new media and film marketing means has become an indispensable part of today’s film industry. This study focuses on the influence of the popularity of new media on film marketing. With the popularity of the internet and the rise of new media, film marketing is facing unprecedented opportunities and challenges. New media platforms, such as social media and video-sharing websites, provide a wide range of communication channels for movies, making movie trailers, posters, and promotional activities spread to the audience quickly. Targeted advertising and precision marketing enable filmmakers to target audiences and improve marketing efficiency and return rate accurately. However, new media marketing is also information overload: fierce competition and user privacy. Combining the definition of new media and specific cases, this paper discusses the optimization function of new media on film marketing strategy. By exploring the relationship between new media and film marketing, this paper analyzes the characteristics of new media and its role in specific film marketing success cases and draws the reasons and strategies for using new media in film marketing to achieve good results at present.

Against #CoronaJihaad: Online Somatic Nationalism and Offline Social Distancing in India during covid-19

Abstract This article examines the two waves of the covid-19 pandemic in India in 2020–2021. It disaggregates the different narratives constructed by the Hindu right-wing in online circles. It shows that by instrumentalizing the interactive and multimodal features of social media, the Hindu Right amplified the notion of Muslims as contaminants in the first wave of the breakout, accusing them of weakening the otherwise sacred, virus-resistant Indian nation. During the second wave, the Hindu Right downplayed the role of the Kumbh Mela, a major Hindu pilgrimage and festival, as a super-spreader event. Criticisms of the Hindu festival was deemed a foreign conspiracy aimed at harming India’s body politic. The article argues that the Hindu Right capitalized on the covid-19 crisis to promote religified and somatisized ideals of a ‘muscular Hindu India’ weakened by the Muslim Other from within. This narrative heightened the schism between Hindus and Muslims in India, with long-lasting effects that outlive the pandemic itself. Finally, the article problematizes the notion that digital technologies and virtual spaces necessarily overcome physical barriers and divisions, arguing instead that in the case of the right-wing Hindu Twittersphere, social media congealed intra-communal solidarities and inter-communal antagonisms online echoing divisions in the non-digital, offline world.