Types Of Media Research Articles

Surface Treatment of Additively Manufactured Polyetheretherketone (PEEK) by Centrifugal Disc Finishing Process: Identification of the Key Parameters.

Polyetheretherketone is a promising material for implants due to its good mechanical properties and excellent biocompatibility. Its accessibility to a wide range of applications is facilitated by the ability to process it with an easy-to-use manufacturing process such as fused filament fabrication. The elimination of disadvantages associated with the manufacturing process, such as a poor surface quality, is a main challenge to deal with. As part of the mass finishing process, centrifugal disc finishing has demonstrated good results in surface optimization, making it a promising candidate for the post-processing of additively manufactured parts. The objective of this study is to identify the key parameters of the centrifugal disc finishing process on the waviness of additively manufactured PEEK specimens, which has not been investigated previously. The waviness of the specimen was investigated by means of confocal laser scanning microscopy (CLSM), while weight loss was additionally tracked. Six parameters were investigated: type, amount and speed of media, use of compound, amount of water and time. Type of media, time and speed were found to significantly influence waviness reduction and weight loss. Surface electron microscopy images demonstrated the additional effects of deburring and corner rounding. Results on previous studies with specimens made of metal showed similar results. Further investigation is required to optimize waviness reduction and polish parts in a second post-processing step.

Interactivity and identity impact learners' sense of agency in virtual reality field trips

AbstractAgency, or the capacity to take intentional actions, is considered one of the primary affordances of virtual reality (VR) for learning. VR is expected to increase learners' agency because it allows for full‐body interactivity from a first‐person perspective, giving them novel ways of interacting with the digital environment. Yet, agency in immersive learning has not been well‐studied relative to other affordances like presence, and more evidence is needed to understand how varied media and designs heighten or diminish agency. This mixed‐method study addressed this need by developing and validating measures of sense of agency with 30 high school students who used VR field trips in their engineering class over four lessons. By comparing immersive videos to video game‐like interactive graphical environments, the study illustrates some of the complexities of agency in VR. The findings indicate agency is not a unidimensional construct nor is it equivalent to full‐body interactivity in VR as learners felt some types of agency when using immersive videos. Furthermore, learners' identities moderated associations between the type of VR media and their sense of agency, and agency did not change over time as the novelty of VR waned. These results suggest VR designers should consider varied ways of interacting in VR that are beneficial for learning. They also support the use of immersive videos when the educator's goal is to increase agency over learning or focus, and provide measures and direction for future research to assess the relationship between varied types of agency, features of VR experiences and learning outcomes. Practitioner notesWhat is already known about this topic Virtual reality (VR) can enhance learning by giving learners a strong sense of presence in the virtual environment and giving them agency over their learning through novel forms of interactivity. Many studies have looked at increasing the learner's presence in VR, but fewer have assessed learners' agency. Prior work found the impact of increased interactivity on learning was mixed: sometimes it increased learning outcomes and motivation, other times it did not. What this paper adds This study develops and validates measures of learners' sense of agency within VR learning environments. This study finds that more interactivity in VR increases how much agency learners feel over their actions but not necessarily their agency over learning and attention. This study also finds variation in students' experiences of agency based on their culturally defined sense of self‐construal. Implications for practice and/or policy Practitioners interested in immersive learning technologies should consider the design of the media used rather than focusing only on the device's capability. Immersive videos may be effective tools for enhancing student agency, depending on the aims of the learning experience. Designers and educators should consider learners' identities such as self‐construal, and understand student experiences may vary.

Media Representations of Homelessness in Three Mid-Sized Canadian Cities: Integrative Review and Comparative Analysis

The media play a pivotal role in framing narratives about complex social issues like homelessness. This study conducts a comparative analysis to evaluate how homelessness is portrayed within print and social media in three Canadian mid-sized cities. We explore similarities and differences between news print media and Facebook conversations on the broad topic of homelessness with respect to temporal distributions of discussions about homelessness, conversations about encampments, the diversity of voices included in social and print media reports, and the use of stereotypical and stigmatizing discourse about homelessness. Our study reveals seasonal variations in discussions about homelessness within traditional media, while social media maintains a more consistent conversation throughout the year. In both media types, however, the discussions about encampments are frequently intertwined with themes of crime and addiction. Moreover, we observe greater inclusion of voices from individuals with lived experience in print media. We find that discussions within both platforms echo common myths associated with homelessness, perpetuating negative conceptions in the broader community. In light of our findings, we advocate for greater editorial oversight on how discussions about homelessness are framed in print media, technological advancements to control negative conversations on social media platforms and encourage the inclusion of voices from those with lived experience. Our research contributes to an underexplored area, as we illuminate the mechanisms of discourse that shape public perceptions and attitudes about homelessness in both print and social media.

Cancer Prevention and Treatment on Chinese Social Media: Machine Learning-Based Content Analysis Study.

Nowadays, social media plays a crucial role in disseminating information about cancer prevention and treatment. A growing body of research has focused on assessing access and communication effects of cancer information on social media. However, there remains a limited understanding of the comprehensive presentation of cancer prevention and treatment methods across social media platforms. Furthermore, research comparing the differences between medical social media (MSM) and common social media (CSM) is also lacking. Using big data analytics, this study aims to comprehensively map the characteristics of cancer treatment and prevention information on MSM and CSM. This approach promises to enhance cancer coverage and assist patients in making informed treatment decisions. We collected all posts (N=60,843) from 4 medical WeChat official accounts (accounts with professional medical backgrounds, classified as MSM in this paper) and 5 health and lifestyle WeChat official accounts (accounts with nonprofessional medical backgrounds, classified as CSM in this paper). We applied latent Dirichlet allocation topic modeling to extract cancer-related posts (N=8427) and identified 6 cancer themes separately in CSM and MSM. After manually labeling posts according to our codebook, we used a neural-based method for automated labeling. Specifically, we framed our task as a multilabel task and utilized different pretrained models, such as Bidirectional Encoder Representations from Transformers (BERT) and Global Vectors for Word Representation (GloVe), to learn document-level semantic representations for labeling. We analyzed a total of 4479 articles from MSM and 3948 articles from CSM related to cancer. Among these, 35.52% (2993/8427) contained prevention information and 44.43% (3744/8427) contained treatment information. Themes in CSM were predominantly related to lifestyle, whereas MSM focused more on medical aspects. The most frequently mentioned prevention measures were early screening and testing, healthy diet, and physical exercise. MSM mentioned vaccinations for cancer prevention more frequently compared with CSM. Both types of media provided limited coverage of radiation prevention (including sun protection) and breastfeeding. The most mentioned treatment measures were surgery, chemotherapy, and radiotherapy. Compared with MSM (1137/8427, 13.49%), CSM (2993/8427, 35.52%) focused more on prevention. The information about cancer prevention and treatment on social media revealed a lack of balance. The focus was primarily limited to a few aspects, indicating a need for broader coverage of prevention measures and treatments in social media. Additionally, the study's findings underscored the potential of applying machine learning to content analysis as a promising research approach for mapping key dimensions of cancer information on social media. These findings hold methodological and practical significance for future studies and health promotion.

Influence of Colored Shade Nets and Media Types on the Development of Rhoeo discolor (Boat Lily)

Study was carried out Department of Floriculture and Landscaping, College of Agriculture, Odisha University of Agriculture and Technology, Bhubaneswar, Odisha during 2018-19. The experiment was designed to determine the optimal conditions for enhancing plant growth, focusing on the effects of different colored shade nets (green, white, red and black) with open light and various media mixture combinations (soil, coco peat, and FYM). Key growth parameters such as plant height, plant spread, leaf number, leaf area, chlorophyll content, and number of suckers were measured over a specified growth period. Results indicated that boat lily grown under red shade net and pots filled with soil, FYM and cocopeat media mixture in 1:1:1 (v/v) proportion performed best in all the characters. It has significantly enhanced plant height (22.11 cm), number of leaves per plant (15.89) and leaf area (110.42 cm2), plant spread in E-W direction (28.78 cm), plant spread in N-S direction (28.78 cm) and leaf thickness (1.32 mm).

An Investigation into Social Media Utilisation in Small and Medium-Sized Enterprises and its Effect on Business Performance: A Case Study of Kabwata Township, Lusaka

This study investigated the impact of social media on Small and Medium-Sized Enterprises (SMEs) in Kabwata Township, focusing on the types of social media used, its impact on brand visibility, customer acquisition, and the influence of social media marketing strategies on sales revenue and profitability. A mixed methods approach was employed, integrating quantitative surveys and qualitative interviews to provide a comprehensive understanding of SMEs' social media practices. The study targeted SMEs actively using social media in Kabwata. 100% response rate was achieved from a sample of 133 SMEs for quantitative data and additional insights from 20 SMEs for qualitative data. The results indicated that platforms like Facebook, Instagram, X (formerly known as Twitter), and LinkedIn significantly enhanced brand visibility and customer engagement. However, the choice of platform alone did not predict success; strategic implementation was crucial. Significant correlations and regression coefficients demonstrated the positive impact of social media marketing on SME success, though with a modest effect on sales revenue. Recommendations emphasized aligning social media activities with business objectives to maximize benefits.

Exploring climate change discourses on the internet: a topic modeling study across ten years

This study examines online discourses about climate change using automated text analysis. Samples of web contributions from various sources, such as blogs, online newspaper articles, readers’ comments, tweets, and others, were collected in 2013, 2019, and 2023. The major themes people talk about when discussing climate change on the internet were identified using structural topic modeling. The study also explored how people discuss climate change differently when using different types of media channels and how the main themes change over time. Six major topics were identified for each point in time; associations between topics and media types were examined. Three topics emerged repeatedly: Dispute over the reality and the implications of climate change, discussions about aspects of the science of climate change, and discussions about causes and consequences of global warming such as sea level rise. In 2019 and 2023, the topic of action (what to do) and the topic of looming disaster showed up repeatedly. Topics limited to one specific corpus were policy discussions, debates about emissions, about renewable energies, about agricultural implications, and expressions of despair. The topical structure could be organized in two general groups, one group containing more science-related topics, and another group containing expressions of dispute, disagreement, and affect. A significant correspondence between media type and prevalent topic could be detected. Media such as Twitter/X and comments are dominated by dispute and despair expressions, whereas media such as blogs and journalistic online articles are primarily concerned with scientific topics in general, as well as with specific topics concerning global warming or renewable energies. In sum, we found noteworthy topical invariances across ten years, and systematic correspondences between topics and media types. The study contributes to the understanding of online discourses about climate change and highlights the role of media type in shaping these discourses.

Sentiment Analysis of Handling "Klitih" in Yogyakarta Using Naïve Bayes

Activities that lead to crimes called "klitih" often occur and disturb the community. The community's response to the handling carried out by the regional government also varied. The public expressed this response using various types of social media, one of which was Twitter. This research analyzes sentiment or responses given by the public by utilizing the social media Twitter to collect data. Data in the form of tweets that have been taken will go through text processing. After that, the text will be weighted using two methods as a comparison, namely tf-idf and count vector. Then the data will be divided into training data and test data to proceed to the classification stage. Classification is carried out using the Naïve Bayes algorithm. To evaluate the results of Naïve Bayes classification, researchers used the Confusion Matrix, by comparing weighting methods and dividing the training data and test data into several different ratios, to find out the scenario that produces the best level of accuracy. The sentiment obtained was dominated by negative sentiment at 75.8%, while positive sentiment was 24.2%. By using existing data, it was found that weighting with count vector had an accuracy rate of 82%. Meanwhile, weighting using TF-IDF obtained an accuracy of 80%.

The use of biofilters in the treatment of wastewater containing organic substances

Abstract The lack of sufficiently effective treatment of wastewater generated in industry and domestic life remains one of the most acute environmental problems. Domestic wastewater is characterized by a high content of organic impurities in its composition, which determines the specifics of the choice of treatment technologies. One of the most relevant and effective methods is biological purification carried out in biological filters. This article discusses the problems associated with wastewater treatment of a sanatorium compound. The analysis of the content of various components in the water supplied to the treatment was carried out, the efficiency of the treatment equipment was determined. The paper proposes and substantiates the expediency of using a modern type of synthetic ruff biofilter media to increase the cleaning efficiency of the wastewater and their compliance with regulatory requirements for discharge into a water body.

Solitary Experience and Problematic Social Media Use Among Young Adults: A Systematic Review with Recommendations for Future Research.

This study was conducted to summarize existing studies on the association between solitary experiences and problematic social media use (PSMU) among young adults. A systematic review was performed according to the PRISMA guidelines, implemented in Scopus, Web of Science, PubMed and PsycINFO. We selected studies if they presented original data, assessed solitary experiences and PSMU in young adults (i.e., 18-30 age range), were published in peer reviewed journals between 2004 and 2023, and were written in English. After duplicate removal, 1,841 eligible studies were found. From these, 12 articles were selected, encompassing 4,009 participants. Most studies showed a positive association between general loneliness and PSMU. Some of these suggested that this relationship varies based on the facets of loneliness, other potential variables, and the type of social media. No mediating factors were found. Few studies assessed solitary experiences other than general loneliness, highlighting the need for a multidimensional perspective on solitary experience in investigating PSMU. Implications and future research orientations are discussed.

Graviton mass due to dark energy as a superconducting medium-theoretical and phenomenological aspects

It is well known that the cosmological constant term in the Einstein field equations can be interpreted as a stress tensor for dark energy. This stress tensor is formally analogous to an elastic constitutive equation in continuum mechanics. As a result, the cosmological constant leads to a “shear modulus” and “bulk modulus” affecting all gravitational fields in the universe. The form of the constitutive equation is also analogous to the London constitutive equation for a superconductor. Treating dark energy as a type of superconducting medium for gravitational waves leads to a Yukawa-like gravitational potential and a massive graviton within standard General Relativity. We discuss a number of resulting phenomenological aspects such as a screening length scale that can also be used to describe the effects generally attributed to dark matter. In addition, we find a gravitational wave plasma frequency, index of refraction, and impedance. The expansion of the universe is interpreted as a Meissner-like effect as dark energy causes an outward “expulsion” of space-time similar to a superconductor expelling a magnetic field. The fundamental cause of these effects is interpreted as a type of spontaneous symmetry breaking of a scalar field. There is an associated chemical potential, critical temperature, and an Unruh-Hawking effect associated with the formulation.

Lecture sur écran : apports et contraintes

The use of digital tools means that every day we have to deal with digital information that we need to see, identify and understand in order to use it properly. Current research on reading incorporates this constant and rapid evolution of digital technologies, in order to better understand the interactions between interfaces and users. The aim of this article is to provide a summary of current research examining the impact of screens on reading comprehension performance. After describing the mechanics of reading and the cognitive models used to formalise text comprehension, this article describes the characteristics of reading on digital media, identifying in particular the associated perceptual and visual constraints, and the way in which the type of medium influences performance in text comprehension, particularly in classroom situations.

Porous medium type reaction-diffusion equation: Large time behaviors and regularity of free boundary

We consider the Cauchy problem of the porous medium type reaction-diffusion equation∂tρ=Δρm+ρg(ρ),(x,t)∈Rn×R+,n≥2,m>1, where g is the given monotonic decreasing function with the density critical threshold ρM>0 satisfying g(ρM)=0. We prove that the pressure P:=mm−1ρm−1 in Lloc∞(Rn) tends to the pressure critical threshold PM:=mm−1(ρM)m−1 at the time decay rate (1+t)−1. If the initial density ρ(x,0) is compactly supported, we justify that the support {x:ρ(x,t)>0} of the density ρ expands exponentially in time. Furthermore, we show that there exists a time T0>0 such that the pressure P is Lipschitz continuous for t>T0, which is the optimal (sharp) regularity of the pressure, and the free surface ∂{(x,t):ρ(x,t)>0}∩{t>T0} is locally Lipschitz continuous. In addition, under the same initial assumptions of compact support, we verify that the free boundary ∂{(x,t):ρ(x,t)>0}∩{t>T0} is a local C1,α surface.

Combining Natural Language Processing and Statistical Methods to Assess Gender Gaps in the Mediated Personalization of Politics

The media attention to the personal sphere of famous and important individuals has become a key element of the gender narrative. In this setting, we aim at assessing gender gaps in the mediated personalization of a wide range of political office holders in Italy during the period 2017–2020 by means of a combination of NLP and statistical methods. The proposed analysis hinges on the definition of a new score for each word in the corpus that adjusts the incidence rate for the under representation of women in politics. On this basis, evidence is found that political personalization in Italy is more detrimental for women than it is for men, with the persistence of entrenched stereotypes including a masculine connotation of leadership, the resulting women’s unsuitability to hold political functions, and a greater deal of focus on their attractiveness and body parts. In addition, women politicians are covered with a more negative tone than their men counterpart when personal details are reported. By distinguishing between different types of media, we also show that the observed gender differences are primarily found in online news rather than print news. This suggests that the expression of certain stereotypes may be favored when click baiting and personal targeting have a major impact.

Women in Mass Media in Under the Silver Lake (2018): A Saussure’s Semiotics Study

This study examines the portrayal of women in the mass media in a movie Under the Silver Lake (2018). This study used a qualitative method and Saussure’s semiotic theory to analyze women in the mass media in the movie, particularly on the connection between the portrayal of women and its meaning based on social conception. There are two types of mass media in the movie that are analyzed: print ads and magazines. The first focuses on the 1969 Tipalet print ads, and the second is from the 1970 Playboy magazine. The findings indicate that women in mass media are not merely portrayed as models or figures to promote a product. Instead mass media is inclined to use their portrayal as a medium to promote the ideas of women objectification. The portrayal of women in those mass media; thus, they often appear objectified, exploited, and undervalued. They are depicted in their most sexual appearance, which does not account for them as equal human beings. Such portrayals of women in conventional mass media provide the most harmful and unequal representation of women.

Comparison of Endosopic Cartilage Tympanoplasty in Dry and Moist Ears in Mucosal Type of Chronic Suppurative Otitis Media

Comparison of Endosopic Cartilage Tympanoplasty in Dry and Moist Ears in Mucosal Type of Chronic Suppurative Otitis Media

Macam Varietas Tanaman Selada Perlakuan Media Organik

This research seeks to assess how organic and varietal planting media impact the growth and yield of lettuce plants (Lactuca sativa. L). The study was conducted using the Complete Group Random Design (CGRD) method with two treatment factors. The first factor involved three types of organic planting media: (M1) a blend of soil, manure, and burnt husks; (M2) a blend of soil, manure, and cocopeat; (M3) a blend of soil, manure, burnt husks, and cocopeat. The second factor comprised three varieties: (V1) Grand Rapid green lettuce, (V2) Red Rapid red lettuce, and (V3) Lollo Rossa red lettuce. The findings indicate that treatment (M3), consisting of soil, manure, burnt husks, and cocopeat, influences leaf width, plant weight, and dry stash weight. The best yield was observed in treatment (V1) with the Grand Rapid green lettuce variety showing significant effects across all parameters. The conclusions are as follows: 1. Organic growing media does not affect all observation parameters related to the growth and yield of lettuce plants. 2. Varietal differences have a noticeable impact on all observation parameters related to lettuce growth and yield. 3. The interaction between organic growing media and plant varieties significantly affects the observation parameters of plant height and plant weight, while it does not affect leaf width and dry stash weight.

A Corpus Study of Acupuncture from the Perspective of Mass Media Based on the Corpus of Contemporary American English

Based on the Corpus of Contemporary American English (COCA), this study examines acupuncture from the perspective of mass media. Acupuncture has been circulating throughout the Chinese Cultural Circle since the Qin and Han Dynasties, and has since spread directly or indirectly to the rest of the world. The United States boasts the world’s second-largest acupuncture market, with its laws, regulations, industry growth, research, and education all positively influencing the development of acupuncture in other nations. This study uses COCA to analyze the form and content of acupuncture’s dissemination in eight different types of media. The findings show that acupuncture appears in COCA a total of 1,788 times, with the highest frequency in magazines, followed by blogs, and the lowest frequency in fiction. These findings reveal the popularity of acupuncture in mass media in the United States and provide empirical data and insights for the future dissemination and development of acupuncture in the United States.

Differentiating the associations of passive and active social media use with e-cigarette use among U.S. youth

PurposeThe impacts of passive (i.e., browsing) versus active (i.e., engagement) use of social media on e-cigarette use among youth have been understudied in existing literature. This study examines how passive and active use of social media are differentially associated with e-cigarette use among youth and how risk perceptions mediate these associations. MethodsPooled data from the 2021 and 2022 National Youth Tobacco Survey (N=48,704, aged 11–19) were used. Weighted structural equation models were employed to estimate the associations between passive and active social media use and youth e-cigarette use. ResultsBoth passive and active social media use were associated with higher odds and more days of e-cigarette use among youth. E-cigarette risk perceptions mediated the associations between active use and both the likelihood of ever using e-cigarettes and the number of days of use. Risk perceptions mediated the association between active, but not passive, use and the number of days of e-cigarette use. Compared to passive use, active use was overall associated with higher odds and more days of youth e-cigarette use. DiscussionThe findings suggest that public health efforts should distinguish between passive and active social media use when designing and executing interventions. Attention and efforts should also be directed towards understanding the distinct indirect effects of passive and active social media use through risk perceptions. These findings advance our theoretical understanding of the role of different types of social media use and offer significant practical insights for interventions.

Utilization of Language Laboratories in Istima’ Learning at Darul ‘Ulum Islamic University Lamongan

Language laboratories are considered an effective medium for foreign language learning, facilitating teachers and learners to study more effectively. The modern language laboratories used today represent a new and innovative approach, incorporating various types of media with specific functions. This study aims to analyze the use of language laboratories for Istima' learning, the different tools available in language laboratories, students' perceptions of using language laboratories in Istima' learning, and the challenges or obstacles encountered during the use of language laboratories in Istima' learning. The research was conducted at Darul ‘Ulum Islamic University Lamongan. A qualitative descriptive method was used in this study. Data collection techniques included interviews and questionnaires. The findings of this study indicate that: 1) The tools used in the language laboratory for Istima' learning include earphones, LCD screens, projectors, the internet, Wi-Fi, YouTube, and e-learning platforms; 2) The utilization of language laboratories, media, and learning resources is primarily for delivering content and for evaluation or assignments in Istima' learning; 3) Students' perspectives indicate that the media and learning resources used in the language laboratory positively impact their enthusiasm and engagement in Istima' learning.