Television Networks Research Articles

Performance Authenticity in the 2016 Liturgies at the Notre Dame Cathedral of Paris

This sociological study describes the exceptional qualities of the 2016 Notre Dame liturgies. My criterion of evaluation is authenticity, defined as faithfulness to a transcendent purpose in liturgical performances. The four areas of prayer, singing, participation, and visualization at Notre Dame are first compared to those of Papal Masses, a Protestant celebration, Sunday masses during the pandemic, and the daily 30-min Masses on American television networks. At Notre Dame, all the aspects of the liturgy were choreographed by the rector-master of ceremonies and visualized through theological concepts. The entrance procession was different each week, ranging from only two acolytes and the celebrating bishop to about fifty priests and several bishops. The performance of the choir was adapted to the needs of the weekly liturgies. The participation of the congregation was encouraged by professional singing leaders, and visualization through vertical and horizon images conveyed a sense of pilgrimage toward eternity. Is this a model for the universal Church, or specific to the French Church? The election of a pope from the Global South suggests that Catholicism has moved away from European models toward greater engagement in the world.

Adapting a Novel for Television: A Systemic Critique

Using a multi-interdisciplinary theory (MIT) approach, this article argues for a process of altering a source literary text into a television production. This article illuminates that while the vision of adapting a source narrative intends to advance the vision of the adapter, the process to accomplish this is multifaceted and requires multi-collaborative efforts. This article further underlines some of the central features that are often altered in the adaptation of the novel and how they amplify and advance the storyline. What is worth noting, though, is that the television adaptation ought not to interlope with the principal storyline. In other words, the principal storyline of a novel or original narrative encapsulates its core themes, messages, and emotional resonance. Having said that, deviating too far from this core may result in a loss of the purposive impact and meaning. During the course of the article, it becomes clear that the examination of adapting a novel for television in Africa, with specific reference to isiXhosa, has not been afforded an adequate platform for theoretical and practical scholarly discourses. Specifically, the television industry in Africa has its dynamic forces, challenges, and opportunities. On account of this reality, exploring the practical dimensions of adapting novels for African television networks, considering factors such as production budgets, audience preferences, and distribution challenges, may be a valuable avenue for research. In view of this fact, this article should be regarded as one that presents contemporary insights into the arena of academic inquiry. This article presents concluding remarks with the anticipation that other scholars will continue the discourse and begin to address identified conundrums.

UROLATAM Project: A multidisciplinary comprehensive care project for prostate cancer

Abstract Introduction Prostate Cancer (PCa) represents a health problem in the world and its management is heterogeneous in care, depending on the resources each country has, modifying its effectiveness in prevention, diagnosis, treatment and follow-up. Methods The UROLATAM program was implemented based on the Design Thinking quadruple helix innovation model, consisting of the immersion, design, idea and prototype phases, characterized by being multidisciplinary and comprehensive. Teachers and students from different careers at the Universidad Veracruzana participated. Linkages were made with: Local government, government health institutions, colleges of specialist doctors, private institutions and civil society. This program was broadcast on radio, television and social networks inviting the population to participate in education and prevention activities, in addition to participating in diagnosis, treatment and follow-up actions for men over 40 years of age. The duration of the program was 4 days, including educational sessions for doctors, patients, family members and caregivers, as well as determination of prostate-specific antigen, urological consultation and prostate ultrasound, as well as rehabilitation exercises, diagnostic confirmation and treatment. who needed it. Results During the sessions, 944 patients aged 60.7 (±15.0) years were treated, 443 (47%) had never received a urological consultation, identifying a prevalence of 11.7% of Cap. The human team present with the patient was 25 specialist doctors, 16 medical residents, 38 undergraduate students, 3 rehabilitators and 6 administrative staff. None of the participants received a salary for participating in this project. Conclusions The multidisciplinary UROLATAM linkage project constitutes a useful educational, training and assistance tool for the population, as well as an educational element for the students who are part of the work team. Key messages • The UROLATAM project is replicable in countries that require additional support in the prostate cancer approach. • The structure of the UROLATAM project can be replicated to address other public health problems.

Woke women of the 90s return: Toxic white feminism and the Murphy Brown and Roseanne reboots

AbstractTwo feminist icons of the 1990s returned to network television in 2018: Murphy Brown and Roseanne Conner. Neither rebooted character survived the reboot's first season. Despite their attempts to demonstrate that they were “woke,” the acting styles and strong personas of these two icons were, this paper argues, not appealing to a younger generation of television viewers and feminists and, simultaneously, too progressive for the older and more conventional audiences of the networks on which they aired. Moreover, both leading characters demonstrated the narrowmindedness associated with a toxic white feminism that overlooks issues of class and race.

Design and Implementation of Image Acquisition and Signal Transmission Functions based on FPGA

Abstract In recent years, video network monitoring systems have evolved rapidly, from the first generation of digital-analogue systems to the fully IP-based systems. Based on the FPGA core, this design focuses on image acquisition and information transmission. The FPGA expansion board contains several peripheral modules, including the OV7670 camera captures images, DRAM stores data, and FIFO handles cross-clock domain signal transmission. While the reference clock is 40ns, in this system, the clock period is 20ns, making two clock cycles equal to one reference clock cycle. Then, two counters are used, one is the reference clock and another is the line synchronization (cnt1) to count 800 clock cycles per line. The end of a line is indicated by end_cnt0, and FIFO data is stored in SDRAM. Configuring the VGA display driver allows image data to be transmitted and displayed on the VGA screen. The system features a simple structure, high resource utilization, and strong reliability.

Mustang: Improving QoE for Real-Time Video in Cellular Networks by Masking Jitter

The advent of 5G and interactive live broadcasting has led to a growing trend of people preferring real-time interactive video services on mobile devices, particularly mobile phones. In this work, we measure the performance of Google congestion control (GCC) in cellular networks, which is the default congestion control algorithm for Web Real-Time Communication (WebRTC). Our measurements show that GCC sometimes makes bitrate decisions which are harmful to quality of experience (QoE) in cellular networks with high jitter. We further find that the frame delivery time (FDT) in the player can mitigate network jitter and maintain QoE. Moreover, the receiving rate is better to reflect the network congestion than RTT in cellular networks. Based on these measurements and findings, we propose Mustang, an algorithm designed to overcome the jitter in cellular networks. Mustang makes use of the FDT and receiving rate as feedback information to the sender. Then the sender adjusts its sending rate based on the information to guarantee QoE. We have implemented Mustang in WebRTC and evaluated it in both emulated and real cellular networks. The experimental results show that Mustang can improve WebRTC’s QoS and QoE performance. For QoS, Mustang increases the sending rate by 72.1% and has similar RTT and packet loss when compared with GCC, while it is about 30% better for QoE.

Analysis of China's Social Media Outreach Strategies - Taking the Climate Change Issue as an Example

This paper explores China's social media outreach strategies on the issue of climate change, particularly through the platforms Douyin (the domestic version of TikTok) and China Global Television Network (CGTN). Utilizing agenda-setting and framing theories, the paper analyzes how China employs social media to shape its international image, disseminate policy ideas, and play a significant role in global climate governance. The study finds that Douyin, with its vivid visual content and high interactivity, connects climate change policies with the daily lives of the public, while CGTN's authoritative reporting showcases China's leadership in global climate governance. The paper summarizes the successful strategies of China's social media in climate change advocacy and proposes suggestions for improvement and international cooperation.

Sustainable Entertainment: Management Strategies for Sustainable Growth in the Television Industry

As it faces the threats and seizes the possibilities presented by sustainability, the television business is experiencing a profound shift. The potential for long-term expansion in the television industry is investigated in this study by looking at sustainable entertainment management practices. The research finds important tactics that production businesses and television networks may use to incorporate social, economic, and environmental sustainability into their operations by looking at existing practices and new developments. Case studies of prominent firms, examination of sustainability reports, and expert interviews make up the research's mixed-methods strategy. The results show that in order to promote sustainability, it is crucial to use energy-efficient technology, decrease waste with digital manufacturing processes, and encourage social responsibility with inclusive content and fair labour standards. In order to achieve sustainable development in the long run, the research stresses the significance of stakeholder involvement and strategic alliances. Stakeholders in this sector may use the suggestions made in this paper to improve their sustainability initiatives and meet the changing needs of the global market in a way that is good for the environment and their bottom line.

Design and development of a motion activated internet protocol video surveillance system for crowd monitoring

Internet Protocol (IP) cameras are powerful tools in security and crowd monitoring implementation owing to their efficient communication over a wide geographical area. However, for any authorized personnel to initiate recording based on an event, to report a security breach, or even to stop recording when an uninteresting scene is presented, such would have to sit at the reach of the control which is not always possible. In this proposal, we implement a motion activated internet protocol (MAIP) based video surveillance system using network video management for crowd monitoring. The system can activate itself to initiate video recording on detecting motion or event using its in-built features of the network cameras and Video Management Software (VMS). The system will result in an effective and efficient motion detection video surveillance with necessary features that allow for quick recording, conserved bandwidth, greater storage, space conservation, reduces CPU load on recording servers and also allows for integration with other systems.

Self-rated health of Latino day laborers during the COVID-19 pandemic: a cross-sectional study.

This study assesses the relationship between trust in sources of information in regard to the Coronavirus Disease 2019 (COVID-19) pandemic and self-rated health (SRH) in a sample of Latino Day Laborers (LDLs) and explores whether these associations were mediated by mental health measures. A rapid needs assessment survey was conducted with 300 LDLs, recruited at randomly selected hiring locations in Houston, Texas, during November and December 2021. Two measures of trust were developed, and SRH was measured by a single item. Depression, anxiety, and stress were measured by previously validated scales. We applied the product of coefficients approach to assess our mediation model. Using Hayes' PROCESS version 4.2 in SPSS, linear regression models were generated simultaneously to assess the total effect of trust on SRH, effect of trust on the mental health mediator, and effect of the mediator on SRH, controlling for trust. Demographic characteristics were entered as covariates. Greater trust in formal sources of information (such as Spanish-speaking television networks) as well as greater levels of anxiety and depression were associated with lower SRH. There were no significant associations between formal trust and mental health measures. As such, the association between formal trust and decreased SRH was not mediated by mental health. Trust in informal sources of information (conversations with friends, family, and coworkers) was not significantly associated with SRH or mental health. Higher levels of depression and anxiety, however, were associated with lower SRH. LDLs' perception of their health was inversely associated with their level of trust in formal sources of information and with greater levels of depression and anxiety. Nevertheless, these pathways were independent of each other. The results indicate the direct impact of COVID-19 public information on subjective well-being, a relationship that merits further exploration.

Locality as a space for negotiation and resistance in local television

Background: Local television has an important role in displaying local culture and identity. This role is becoming crucial amidst the dominance of Jakarta’s national television, which not only broadcasts certain cultures and groups but also tends to be biased. Purpose: This study was conducted to explain how locality is used as a means of negotiation and resistance of local television against the domination of national television. Method: This research was conducted using qualitative methods by taking local television, RBTV, part of the national television network Kompas TV, as a case. Data was collected with in-depth interviews, observations, and documents. Result: This research shows that although local television has limited broadcast time (5 hours), it creatively uses locality to negotiate and resist the domination of national television. RBTV uses three tactics to bargain its position with Kompas TV. First, they negotiate the presenter’s standard. For instance, RBTV welcomes presenters who speak at standard speed but does not accept people with oriental faces and Jakarta accents. Second, they broadcast local communities to increase engagement with the audience. Third, they broadcast local culture, such as tradition, customs, food, and fashion. Conclusion: RBTV makes the most of its time to serve and show the local community. Something that Jakarta national television cannot do well. Implications: Local television has become an “arena” for cultural battles and acts as an actor. The thesis of imperialism and cultural domination in the context of RBTV fails. This research suggests the importance of studies with a local perspective so that the dialogue between local, national and global cultures can be investigated.

HDR-ChipQA: No-reference quality assessment on High Dynamic Range videos

We present a no-reference video quality model and algorithm that delivers standout performance for High Dynamic Range (HDR) videos, which we call HDR-ChipQA. HDR videos represent wider ranges of luminances, details, and colors than Standard Dynamic Range (SDR) videos. The growing adoption of HDR in massively scaled video networks has driven the need for video quality assessment (VQA) algorithms that better account for distortions on HDR content. In particular, standard VQA models may fail to capture conspicuous distortions at the extreme ends of the dynamic range, because the features that drive them may be dominated by distortions that pervade the mid-ranges of the signal. We introduce a new approach whereby a local expansive nonlinearity emphasizes distortions occurring at the higher and lower ends of the local luma range, allowing for the definition of additional quality-aware features that are computed along a separate path. These features are not HDR-specific, and also improve VQA on SDR video contents, albeit to a reduced degree. We show that this preprocessing step significantly boosts the power of distortion-sensitive natural video statistics (NVS) features when used to predict the quality of HDR content. In similar manner, we separately compute novel wide-gamut color features using the same nonlinear processing steps. We have found that our model significantly outperforms SDR VQA algorithms on the only publicly available, comprehensive HDR database, while also attaining state-of-the-art performance on SDR content.

Olympian women’s representation in U.S. newspapers has improved according to a content analysis of three local dailies

A content analysis of news coverage of the Tokyo 2021 Summer Olympics (N = 561) found that three major U.S. dailies ran more stories about women’s than men’s sports, confirming the trend recorded in networked television prime-time programming toward a finally adequate representation of female athletes. The findings suggest that efforts to foster gender equality can help challenge gender stereotypes in the media. The regional differences detected may indicate the reflection of lingering masculine hegemony.

Comparative analysis of tobacco industry cigarette marketing expenditures in the United States, 2009–2018

Anti-tobacco campaigns face challenges as tobacco marketing consistently outpaces funding for public health presentation initiatives. In 2017, tobacco companies spent around $1 million every hour to promote cigarettes and smokeless tobacco in the US. That same year, they were also mandated to sponsor and disseminate Federal court ordered Corrective Statements (CSs) advertisements in outlets such as newspapers and major television networks. Thus, it is crucial to monitor the marketing activities of the tobacco industry to bolster effective tobacco control efforts. Cigarettes marketing expenditures were obtained from the Federal Trade Commission Cigarettes reports and adjusted for inflation using the Consumer Price Index Inflation Calculator. Temporal trends during 2009–2018 period were assessed using Joinpoint regression at (p < 0.05). The costs of publishing the CSs in print were estimated based on the cost of a full-page advertisement with similar specifications. Between 2009 and 2018, the total adjusted cigarette marketing expenditures exhibited no significant changes (AAPC = −1.5). Spending on print advertisements decreased from 0.43% in 2009 to 0.1% in 2018. Magazine cigarette marketing expenditures underwent a relative percentage decline of 80% (AAPC = −13.5;p < 0.05). In 2018, the tobacco industry allocated approximately $8.5 million for print advertisements to promote cigarettes. We estimated that it cost $5.5 million to disseminate the CSs in print the same year, constituting 0.06% of the overall expenditure on cigarette marketing and promotion. Several traditional cigarettes advertising categories have seen reduced funding over the past decade. Nevertheless, the total marketing expenditure remained unaffected. In response to marketing regulations, tobacco companies shifted their funds to less regulated channels. In 2018, a significant portion of promotional expenditures were directed toward various price discounts, which could potentially expose vulnerable children and youths to cigarette marketing. Lastly, the impact of CSs was weakened by delayed implementation and shift in consumer attention from traditional media to other digital channels.

Application of Machine Learning Techniques for Fake News Classification

ABSTRACT Fake News consists of disseminating fake news in various social and digital media such as newspapers, television networks, and the internet. Fake news is not a new phenomenon in human behavior. However, the current dissemination is very different from what happened in the past. Social networks and the contemporary world have made it possible for the spread of lies to occur quickly and even intentionally. This causes serious problems, and its impacts can be felt in the real world. The identification of fake news can be useful in several contexts and can be used, for example, as a news filter in the virtual space. Thus, the present work aims to propose and evaluate strategies for processing and applying machine learning models, to improve the performance of classifiers in the problem of identifying fake news in Brazilian news.

Vladimir Putin on Channel One, 2000–2022

ABSTRACT Drawing on transcripts from the television network Channel One, a popular news source in Russia, this article addresses the question: “How was Vladimir Putin covered by state-controlled media while the regime became increasingly centralized?” The literature on the subject is scarce and inconclusive. Dictators create different images of themselves, and the portrayals of present-day spin dictators — those who primarily rely on the power of propaganda to persuade rather than dominate — are understudied. While some analysts point to Putin’s omnipresence in mass media, others uncover the lack of media personalization and relatively neutral coverage. Using 385,981 news transcripts from 2000–2022 and relying on techniques from natural language processing, I examine how a present-day autocrat attempts to optimize the intensity of state-controlled propaganda. I uncover three main tendencies. First, during all the years in power, the ruler has been more frequently referred to through positive stories. Second, there is only partial evidence that the relative references to Putin on Channel One have significantly increased over time. Third, during all his years in power, Putin has been more frequently mentioned in domestic news rather than in stories about foreign affairs. However, I also demonstrate that the share of news about foreign affairs and events abroad that mentions the ruler has been increasing every year since 2013. By focusing on the supply side of propaganda, this article contributes to the literature on autocratic resilience and spin dictators.

TDS-Net: Transformer enhanced dual-stream network for video Anomaly Detection

Video anomaly detection is a critical research area, driven by the increasing reliance on surveillance systems to maintain public safety and security. The implementation of surveillance cameras in public spaces is driven by the specific goal of monitoring incidents involving theft, vandalism, traffic accidents, etc. However, the reliance on human oversight for anomaly detection introduces a susceptibility to errors, emphasizing the urgent need for the development of efficient algorithms capable of autonomously detecting anomalies in video footage. Furthermore, anomalous patterns within video data often have a complex background, unexpected events, variations in the scale of the objects, and anomalous appearances, which makes their detection challenging. Therefore we introduce a novel Dual Stream Transformer Network (TDS-Net) to address these challenges. TDS-Net concurrently extracts RGB and flow features, using a transformer network for sequential pattern learning. The parallel extraction of RGB features allows the model to learn patterns, while the dedicated flow module adeptly handles motion features. The significance of this innovative network for video anomaly detection is that it enhances the ability to identify and analyze unusual patterns or events within video data. Furthermore, the TDS-Net has demonstrated superior accuracy compared to baseline methods across benchmark datasets, including ShanghaiTech, CUHK Avenue, and UCF Crime. We also carried out an ablation study, offering insights into the individual contributions of the components of the TDS-Net architecture.

Early quadtree with nested multitype tree partitioning algorithm based on convolution neural network for the versatile video coding standard

Early quadtree with nested multitype tree partitioning algorithm based on convolution neural network for the versatile video coding standard

Real-time body movement tracking of athletes via a CNN-based approach

Sports injuries frequently stem from improper poses and movements. This paper explores the potential of using video and deep neural network model in mitigating such risks. A novel real-time body movement tracking system is designed to enable athletes to analyze and refine their techniques without the need for intrusive sensors. Central to our approach is the development of a user-friendly graphical interface, facilitating the effortless display and examination of tracked movements. This system not only enhances athletic performance but also aims to significantly reduce the sports injuries.

Real-time body movement tracking of athletes via a CNN-based approach

Sports injuries frequently stem from improper poses and movements. This paper explores the potential of using video and deep neural network model in mitigating such risks. A novel real-time body movement tracking system is designed to enable athletes to analyze and refine their techniques without the need for intrusive sensors. Central to our approach is the development of a user-friendly graphical interface, facilitating the effortless display and examination of tracked movements. This system not only enhances athletic performance but also aims to significantly reduce the sports injuries.